Triple

T15856289
Position Surface form Disambiguated ID Type / Status
Subject Shiodome E384463 entity
Predicate near P350 FINISHED
Object Tsukiji area NE NERFINISHED

How this triple was built (2 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: Tsukiji area | Statement: [Shiodome, near, Tsukiji area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsukiji area
Context triple: [Shiodome, near, Tsukiji area]
  • A. Suidobashi area
    Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
  • B. Nipponbashi area
    The Nipponbashi area is Osaka’s famous electronics and otaku shopping district, known for its dense concentration of anime, manga, game, and gadget stores.
  • C. Iidabashi area
    The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
  • D. Tsukiji chosen
    Tsukiji is a district in central Tokyo, Japan, historically known for its waterfront location, major fish market, and role in early modern naval and commercial development.
  • E. Kyōbashi commercial area
    The Kyōbashi commercial area is a bustling Osaka district known for its dense concentration of shops, restaurants, and entertainment venues, as well as its major railway hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cb08bd081908af2120eb2925441 completed April 16, 2026, 8:55 p.m.
Created at: April 10, 2026, 4:50 a.m.