Triple

T13375436
Position Surface form Disambiguated ID Type / Status
Subject Yamatoji Rapid Service E319169 entity
Predicate majorStop P29762 FINISHED
Object Kyuhoji Station 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: Kyuhoji Station | Statement: [Yamatoji Rapid Service, majorStop, Kyuhoji Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyuhoji Station
Context triple: [Yamatoji Rapid Service, majorStop, Kyuhoji Station]
  • A. Kyūhōji Station chosen
    Kyūhōji Station is a railway station in Yao, Osaka Prefecture, Japan, serving as an interchange between local lines within the JR West network.
  • B. Hannō Station
    Hannō Station is a railway station in Hannō, Saitama Prefecture, Japan, serving as a local transit hub on the Seibu Ikebukuro Line.
  • C. Kujo Station
    Kujo Station is a subway station in Kyoto, Japan, served by the Kyoto Municipal Subway Karasuma Line.
  • D. Kujo Station
    Kujo Station is a railway station in Osaka, Japan, served by the Hanshin Electric Railway network.
  • E. Gekkōji Station
    Gekkōji Station is a railway station in Fujiyoshida, Yamanashi Prefecture, Japan, serving local passengers near the base of Mount Fuji.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce3fec48190a5443d87c85477a3 completed April 11, 2026, 11:44 p.m.
Created at: April 9, 2026, 9:33 p.m.