Triple

T22726197
Position Surface form Disambiguated ID Type / Status
Subject Hibiya, Chiyoda, Tokyo E561998 entity
Predicate adjacentTo P224 FINISHED
Object Uchisaiwaicho 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: Uchisaiwaicho | Statement: [Hibiya, Chiyoda, Tokyo, adjacentTo, Uchisaiwaicho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uchisaiwaicho
Context triple: [Hibiya, Chiyoda, Tokyo, adjacentTo, Uchisaiwaicho]
  • A. Bakurochō
    Bakurochō is a commercial district in Tokyo known historically as a wholesale textile and clothing center with convenient access to major rail and transit lines.
  • B. Sennichimae
    Sennichimae is a bustling entertainment and dining district in central Osaka known for its neon-lit streets, theaters, and casual eateries.
  • C. Hamamatsuchō chosen
    Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
  • D. Shintomichō
    Shintomichō is a neighborhood located within Tokyo’s central Chūō ward, known for its mix of residential and commercial urban streets.
  • E. Haginochaya
    Haginochaya is a neighborhood in Osaka’s Naniwa Ward known for its dense urban streetscape, budget accommodations, and proximity to major transit and entertainment areas.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17929710c81909a895622ee32920e completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.