Triple

T10814157
Position Surface form Disambiguated ID Type / Status
Subject Ageo E255180 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Kita Ward, Saitama E886133 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: Kita Ward, Saitama | Statement: [Ageo, neighboringMunicipality, Kita Ward, Saitama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita Ward, Saitama
Context triple: [Ageo, neighboringMunicipality, Kita Ward, Saitama]
  • A. Kita-ku, Saitama chosen
    Kita-ku, Saitama is one of the administrative wards of Saitama City in Japan, functioning as a residential and commercial district within the Greater Tokyo metropolitan area.
  • B. Wako, Saitama
    Wako, Saitama is a city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter town within the Greater Tokyo Area.
  • C. Asaka, Saitama
    Asaka is a suburban city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
  • D. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • E. Nishi-Okano
    Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eba9b48190b4dbe7fe5d8be0a4 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.