Triple

T11585927
Position Surface form Disambiguated ID Type / Status
Subject Ohi Racecourse E274752 entity
Predicate accessibleBy P1017 FINISHED
Object Oikeibajo-mae Station E706228 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: Oikeibajo-mae Station | Statement: [Ohi Racecourse, accessibleBy, Oikeibajo-mae Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oikeibajo-mae Station
Context triple: [Ohi Racecourse, accessibleBy, Oikeibajo-mae Station]
  • A. Oikeibajo-mae Station chosen
    Oikeibajo-mae Station is a passenger railway stop on the Tokyo Monorail line in Tokyo, Japan, serving travelers near the local horse racing facilities.
  • B. Kita-Yono Station
    Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
  • C. Osakako Station
    Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
  • D. Rokkomichi Station
    Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
  • E. Makiochi Station
    Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89462203881908870e991a5b21770 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7143ee0548190b71ddae0ab7c68cb completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.