Triple

T11575688
Position Surface form Disambiguated ID Type / Status
Subject JR West Shinkansen E274498 entity
Predicate connectsCity P4245 FINISHED
Object Kanazawa E191292 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: Kanazawa | Statement: [JR West Shinkansen, connectsCity, Kanazawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanazawa
Context triple: [JR West Shinkansen, connectsCity, Kanazawa]
  • A. Kanazawa chosen
    Kanazawa is a historic Japanese city on the Sea of Japan coast, renowned for its well-preserved samurai and geisha districts, traditional crafts, and the celebrated Kenrokuen Garden.
  • B. Niigata
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • C. Kōriyama
    Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
  • D. Ichinoseki
    Ichinoseki is a city in northeastern Japan known as a gateway to the scenic and historic sites of southern Iwate Prefecture.
  • E. Toyohashi
    Toyohashi is a city in Aichi Prefecture, Japan, known as a regional commercial and transportation hub on the Pacific coast of central Honshu.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89049721081909278adfada668ef9 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c28d1e1c81909e869f01659ec233 completed May 10, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:38 p.m.