Triple

T8572191
Position Surface form Disambiguated ID Type / Status
Subject Nerima E202952 entity
Predicate borders P224 FINISHED
Object Nishitokyo City E756980 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: Nishitokyo City | Statement: [Nerima, borders, Nishitokyo City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishitokyo City
Context triple: [Nerima, borders, Nishitokyo City]
  • A. Bunkyō City
    Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
  • B. Fuji City
    Fuji City is an industrial city in Shizuoka Prefecture, Japan, known for its paper manufacturing industry and views of nearby Mount Fuji.
  • C. Nagaokakyo City
    Nagaokakyo City is a suburban city in Kyoto Prefecture, Japan, known for its residential communities, historical temples, and convenient rail access to Kyoto and Osaka.
  • D. Nishitokyo chosen
    Nishitokyo is a suburban city in western Tokyo, Japan, known primarily as a residential area within the Tokyo metropolitan region.
  • E. Hadano City
    Hadano City is a municipality in Kanagawa Prefecture, Japan, known for its natural scenery, including views of Mount Ōyama and surrounding mountainous landscapes.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f43ee693048190a8c7ecdf8724d3ec completed May 1, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:21 p.m.