Triple

T16409872
Position Surface form Disambiguated ID Type / Status
Subject Kumagaya E398531 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Fukaya 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: Fukaya | Statement: [Kumagaya, neighboringMunicipality, Fukaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukaya
Context triple: [Kumagaya, neighboringMunicipality, Fukaya]
  • A. Fukaya chosen
    Fukaya is a city in northern Saitama Prefecture, Japan, known historically as a post town and for its agricultural produce, particularly green onions.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Fujieda
    Fujieda is a city in Shizuoka Prefecture, Japan, known as a regional commercial center with a mix of residential areas, agriculture, and light industry.
  • D. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • E. Inazawa
    Inazawa is a city in central Japan known for its agricultural production and historic shrines, located within Aichi Prefecture.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32871bce08190addd637413473c87 completed April 18, 2026, 6:45 a.m.
Created at: April 10, 2026, 5:09 a.m.