Triple

T6389706
Position Surface form Disambiguated ID Type / Status
Subject Kameoka E143790 entity
Predicate neighboringCity P988 FINISHED
Object Minoh E26138 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: Minoh | Statement: [Kameoka, neighboringCity, Minoh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minoh
Context triple: [Kameoka, neighboringCity, Minoh]
  • A. Minoh chosen
    Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
  • B. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • C. Maizuru
    Maizuru is a coastal city in northern Kyoto Prefecture, Japan, known for its natural harbor, former naval base, and role as a key repatriation port after World War II.
  • D. Neyagawa
    Neyagawa is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
  • E. Musashino
    Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d369226a28819088b14cbc4cb78e57 completed April 6, 2026, 8:04 a.m.
Created at: March 22, 2026, 4:34 p.m.