Triple

T7852426
Position Surface form Disambiguated ID Type / Status
Subject Shinjuku-sanchome Station E182087 entity
Predicate locatedIn P40 FINISHED
Object Shinjuku district E69504 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: Shinjuku district | Statement: [Shinjuku-sanchome Station, locatedIn, Shinjuku district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinjuku district
Context triple: [Shinjuku-sanchome Station, locatedIn, Shinjuku district]
  • A. Shinjuku chosen
    Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
  • B. Shibuya-ku
    Shibuya-ku is a major commercial and entertainment ward in central Tokyo, Japan, known for its bustling shopping districts, nightlife, and the iconic Shibuya Crossing.
  • C. Shibuya
    Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
  • D. Shinagawa
    Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
  • E. Nihonbashi district
    Nihonbashi district is a historic commercial and financial area in central Tokyo known for its traditional merchant roots and role as a major business hub.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9423b4608190acbe4a3141890a05 completed April 1, 2026, 9:54 p.m.
Created at: March 30, 2026, 4:51 p.m.