Triple

T1592393
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Station E34204 entity
Predicate hasStationCode P1289 FINISHED
Object TYO (informal city code) E5560 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: TYO (informal city code) | Statement: [Tokyo Station, hasStationCode, TYO (informal city code)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TYO (informal city code)
Context triple: [Tokyo Station, hasStationCode, TYO (informal city code)]
  • A. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • B. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • C. Nadi–Tokyo
    Nadi–Tokyo is an international flight route linking Nadi, Fiji with Tokyo, Japan, serving as a key air connection between the South Pacific and East Asia.
  • D. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • E. Chiyoda, Tokyo, Japan
    Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative heart, housing the Imperial Palace, the National Diet, and many government institutions.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb2c480008190bb472cfdab74c387 completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a357d48190aa4151967ce6a947 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.