Triple

T11596955
Position Surface form Disambiguated ID Type / Status
Subject KH04 E275028 entity
Predicate associatedStationName P8935 FINISHED
Object Kyobashi E410655 NE FINISHED

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: Kyobashi | Statement: [KH04, associatedStationName, Kyobashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyobashi
Context triple: [KH04, associatedStationName, Kyobashi]
  • A. Kyōbashi
    Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
  • B. Kamitabashi
    Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
  • C. Shinbashi
    Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
  • D. Kyobashi commercial district chosen
    The Kyobashi commercial district is a bustling business and shopping area in central Tokyo known for its mix of modern office buildings, retail stores, and dining options between Tokyo and Ginza.
  • E. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89549c870819086e16e9110bbad87 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9b70d08190aa74e612947317b5 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:38 p.m.