Triple

T10889305
Position Surface form Disambiguated ID Type / Status
Subject Omiya Ardija E257132 entity
Predicate basedIn P40 FINISHED
Object Saitama City E962042 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: Saitama City | Statement: [Omiya Ardija, basedIn, Saitama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitama City
Context triple: [Omiya Ardija, basedIn, Saitama City]
  • A. Saitama City chosen
    Saitama City is the capital of Saitama Prefecture in Japan, forming part of the Greater Tokyo metropolitan area and serving as a major commercial and administrative center.
  • B. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • C. Machida City
    Machida City is a suburban municipality in western Tokyo, Japan, known for its large residential areas, commercial centers, and role as part of the greater Tokyo metropolitan region.
  • D. Urayasu
    Urayasu is a city in Chiba Prefecture, Japan, best known as the home of Tokyo Disney Resort and its associated entertainment and shopping complexes.
  • E. Kisarazu City
    Kisarazu City is a coastal city in Chiba Prefecture, Japan, known as the gateway on the Chiba side of Tokyo Bay via the Tokyo Bay Aqua-Line.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75202b7248190adeb5780fc5b9199 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f77f6baca4819080f85da5fe0c2aba completed May 3, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:21 p.m.