Triple

T2327422
Position Surface form Disambiguated ID Type / Status
Subject Nishinomiya E48319 entity
Predicate hasStation P35 FINISHED
Object Koshien Station E135584 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: Koshien Station | Statement: [Nishinomiya, hasStation, Koshien Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koshien Station
Context triple: [Nishinomiya, hasStation, Koshien Station]
  • A. Kōshien Station chosen
    Kōshien Station is a railway station in Nishinomiya, Japan, best known as the main access point for the historic Hanshin Koshien Stadium, home of Japan’s famed high school baseball tournaments.
  • B. Osaki Station
    Osaki Station is a major railway hub in Tokyo, Japan, serving multiple JR East lines and connecting central Tokyo with surrounding suburban areas.
  • C. Miebashi Station
    Miebashi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) system serving central Naha in Okinawa, Japan.
  • D. Hankyu Kishibe Station
    Hankyu Kishibe Station is a railway station in Suita, Osaka Prefecture, Japan, serving passengers on the Hankyu Railway network.
  • E. Kanda Station
    Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64c7f1881909b0d847f7782e803 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69c10791159c81909b91cd5beb962e39 completed March 23, 2026, 9:27 a.m.
Created at: March 4, 2026, 7:50 p.m.