Triple

T1742798
Position Surface form Disambiguated ID Type / Status
Subject Tama E38268 entity
Predicate containsAdministrativeUnit P3892 FINISHED
Object Nishitōkyō E248168 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, containsAdministrativeUnit, Nishitōkyō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishitōkyō
Context triple: [Tama, containsAdministrativeUnit, Nishitōkyō]
  • A. Minoh
    Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
  • B. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • C. Arakawa, Tokyo
    Arakawa, Tokyo is a special ward in northeastern Tokyo known for its mix of traditional shitamachi neighborhoods, residential areas, and industrial zones.
  • D. Chiba
    Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
  • E. Musashino chosen
    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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abaffd9b68819084f6c4d5e1aace1e completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01ce7643081908a1a939b9f4c1d59 completed March 10, 2026, 1:30 p.m.
Created at: March 4, 2026, 7:30 p.m.