Triple

T21957379
Position Surface form Disambiguated ID Type / Status
Subject Kakegawa Castle E542227 entity
Predicate locatedIn P40 FINISHED
Object Kakegawa, Shizuoka Prefecture NE NERFINISHED

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: Kakegawa, Shizuoka Prefecture | Statement: [Kakegawa Castle, locatedIn, Kakegawa, Shizuoka Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kakegawa, Shizuoka Prefecture
Context triple: [Kakegawa Castle, locatedIn, Kakegawa, Shizuoka Prefecture]
  • A. Kakegawa, Japan
    Kakegawa, Japan is a city in Shizuoka Prefecture known for its historic castle, green tea production, and scenic views of Mount Fuji.
  • B. Fujinomiya, Shizuoka Prefecture
    Fujinomiya, Shizuoka Prefecture is a city at the southwestern base of Mount Fuji in Japan, known for its scenic views, shrines, and traditional cultural events.
  • C. Kakegawa City chosen
    Kakegawa City is a regional city in central Japan known for its historic Kakegawa Castle and high-quality green tea production.
  • D. Oyama, Shizuoka
    Oyama is a town in eastern Shizuoka Prefecture, Japan, known for its proximity to Mount Fuji and its scenic natural surroundings.
  • E. Zama, Kanagawa Prefecture
    Zama, Kanagawa Prefecture is a city in Japan known for hosting major military installations, including a key Japan Ground Self-Defense Force base and U.S. Army facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1244108948190a08e6966e55c4acd completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.