Triple

T16120744
Position Surface form Disambiguated ID Type / Status
Subject 秦野市 E391130 entity
Predicate hasJapaneseName P9882 FINISHED
Object 秦野市 E391130 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: 秦野市 | Statement: [秦野市, hasJapaneseName, 秦野市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 秦野市
Context triple: [秦野市, hasJapaneseName, 秦野市]
  • A. 秦野市 chosen
    秦野市 is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking spots, and agricultural products such as peanuts and tobacco.
  • B. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • C. 野洲市
    野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
  • D. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • E. 行田市
    行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20200acac8190a47e6a917ff8dd34 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a61e448190be1f8c79cae6c7ee completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.