Triple

T17102386
Position Surface form Disambiguated ID Type / Status
Subject Tama area E415010 entity
Predicate hasPart P35 FINISHED
Object Nishitōkyō E909720 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: Nishitōkyō | Statement: [Tama area, hasPart, Nishitōkyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishitōkyō
Context triple: [Tama area, hasPart, Nishitōkyō]
  • A. Nishitokyo
    Nishitokyo is a suburban city in western Tokyo, Japan, known primarily as a residential area within the Tokyo metropolitan region.
  • B. Minamibōsō
    Minamibōsō is a coastal city in Chiba Prefecture, Japan, known for its scenic Pacific shoreline, mild climate, and agricultural and fishing industries.
  • C. Minoh
    Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
  • D. Nishitōkyō, Tokyo chosen
    Nishitōkyō is a residential city in western Tokyo Metropolis known for its suburban character and role as a commuter area for central Tokyo.
  • E. 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.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787a179d8819087a885c6864498f3 completed May 15, 2026, 8:52 p.m.
Created at: April 10, 2026, 5:35 a.m.