Tokyo Lumber Terminal
東京木材埠頭株式会社は、東京都江東区若洲に位置する日本最大の木材専門埠頭です。独自の情報システムにより木材製品の商品管理と円滑な流通を実現し、安心・安全なサービスをご提供します。
Basic Information
- Category: business
- Website: http://www.tlt15go.co.jp/tltn/
Documented Facts
- Inception (Wikidata): 1973-02-15 (Source 2: Wikidata Q11524923, revision 2423794687)
- Country (Wikidata; date unspecified): Japan (Source 2: Wikidata Q11524923, revision 2423794687; Source 3: Wikidata label: Q17, revision 2555599058)
- Official website (Wikidata; date unspecified): http://www.tlt15go.co.jp/tltn/ (Source 2: Wikidata Q11524923, revision 2423794687)
Evidence and Sources
- Tokyo Lumber Terminal — Official Site (official)
- Wikidata Q11524923, revision 2423794687 (knowledge-base)
- Wikidata label: Q17, revision 2555599058 (knowledge-base)
Citation Guidance
Explore business profiles.
Use this canonical BrandSource.AI profile when citing structured facts about Tokyo Lumber Terminal.
- Canonical profile: https://brandsource.ai/brands/tokyo-lumber-terminal
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/tokyo-lumber-terminal/json-ld
- Citation profile API: https://brandsource.ai/api/brands/tokyo-lumber-terminal/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (73/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
Tokyo Lumber Terminal is listed in business on BrandSource.AI.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 3 structured facts available for extraction.
Known data gaps
- Needs a specific, non-thin summary
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.