Triple

T3546994
Position Surface form Disambiguated ID Type / Status
Subject Sakaisuji Line E75019 entity
Predicate terminus P388 FINISHED
Object Tengachaya Station E527252 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: Tengachaya Station | Statement: [Sakaisuji Line, terminus, Tengachaya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tengachaya Station
Context triple: [Sakaisuji Line, terminus, Tengachaya Station]
  • A. Tengachaya Station chosen
    Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
  • B. Toda Station
    Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
  • C. Senkawa Station
    Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
  • D. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • E. Tawaramachi Station
    Tawaramachi Station is a subway station on the Tokyo Metro Ginza Line located in the Taitō ward of Tokyo, Japan.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfcf64488190af8452308734028c completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05422b25c819098189ac202c20123 completed April 3, 2026, 11:58 p.m.
Created at: March 8, 2026, 3:20 p.m.