Triple

T10814356
Position Surface form Disambiguated ID Type / Status
Subject Railway Museum (Saitama City) E255185 entity
Predicate locatedNear P294 FINISHED
Object Ōmiya Station E141363 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: Ōmiya Station | Statement: [Railway Museum (Saitama City), locatedNear, Ōmiya Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ōmiya Station
Context triple: [Railway Museum (Saitama City), locatedNear, Ōmiya Station]
  • A. Omiya Station chosen
    Omiya Station is a major railway hub in Saitama, Japan, serving numerous JR East lines and Shinkansen routes and functioning as a key gateway between Tokyo and northern Japan.
  • B. Marutamachi Station
    Marutamachi Station is an underground metro station on the Kyoto Municipal Subway network serving central Kyoto, Japan.
  • C. Nippombashi Station
    Nippombashi Station is a major subway and railway hub in Osaka, Japan, serving the bustling Nipponbashi Den Den Town electronics and otaku shopping district.
  • D. Hamamatsuchō Station
    Hamamatsuchō Station is a major railway hub in Tokyo’s Minato ward that provides convenient access to central Tokyo, Haneda Airport, and the surrounding bayfront area.
  • E. Oimachi Station
    Oimachi Station is a major railway hub in Tokyo’s Shinagawa ward, serving multiple train and subway lines and connecting local neighborhoods with central and suburban areas of the city.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733ece4488190b553a66c4b5188bc completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5a733c819090a6710ab990c38d completed May 9, 2026, 11:28 a.m.
Created at: April 8, 2026, 9:18 p.m.