Triple

T17786969
Position Surface form Disambiguated ID Type / Status
Subject Yamaguchi Prefecture E444041 entity
Predicate hasCity P316 FINISHED
Object Yanai 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: Yanai | Statement: [Yamaguchi Prefecture, hasCity, Yanai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanai
Context triple: [Yamaguchi Prefecture, hasCity, Yanai]
  • A. Yanai chosen
    Yanai is a coastal city in western Japan known for its preserved white-walled merchant quarter and traditional goldfish lanterns.
  • B. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • C. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • D. Yato
    Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • E. Fujinami
    Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487938418819096016ad717b014e6 completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.