Triple

T23361510
Position Surface form Disambiguated ID Type / Status
Subject Tokyo (Takeshiba Pier) E593195 entity
Predicate adjacentTo P224 FINISHED
Object Takeshiba waterfront district NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Takeshiba waterfront district | Statement: [Tokyo (Takeshiba Pier), adjacentTo, Takeshiba waterfront district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeshiba waterfront district
Context triple: [Tokyo (Takeshiba Pier), adjacentTo, Takeshiba waterfront district]
  • A. Nagoya waterfront area
    The Nagoya waterfront area is a coastal district of Nagoya known for its port facilities, commercial complexes, and leisure attractions along the bay.
  • B. Shimonoseki waterfront area
    The Shimonoseki waterfront area is a scenic coastal district in Yamaguchi Prefecture known for its seaside promenades, views of the Kanmon Strait, and fresh seafood spots.
  • C. Nakanoshima business district
    Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
  • D. Shirokanedai district
    Shirokanedai district is an upscale residential and educational area in Minato, Tokyo, known for its quiet streets, embassies, universities, and proximity to parks and museums.
  • E. Osaki business district
    Osaki business district is a modern commercial hub in Tokyo known for its high-rise office complexes, corporate headquarters, and convenient transport links.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takeshiba waterfront district
Target entity description: Takeshiba waterfront district is a redeveloped coastal area in central Tokyo featuring piers, offices, cultural facilities, and leisure spaces along Tokyo Bay.
  • A. Nagoya waterfront area
    The Nagoya waterfront area is a coastal district of Nagoya known for its port facilities, commercial complexes, and leisure attractions along the bay.
  • B. Shimonoseki waterfront area
    The Shimonoseki waterfront area is a scenic coastal district in Yamaguchi Prefecture known for its seaside promenades, views of the Kanmon Strait, and fresh seafood spots.
  • C. Nakanoshima business district
    Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
  • D. Shirokanedai district
    Shirokanedai district is an upscale residential and educational area in Minato, Tokyo, known for its quiet streets, embassies, universities, and proximity to parks and museums.
  • E. Osaki business district
    Osaki business district is a modern commercial hub in Tokyo known for its high-rise office complexes, corporate headquarters, and convenient transport links.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a8669c819098b88ae6712e3f88 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.