Triple

T13627401
Position Surface form Disambiguated ID Type / Status
Subject Kita-Urawa Station E325620 entity
Predicate locatedIn P40 FINISHED
Object Saitama City NE NERFINISHED

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: [Kita-Urawa Station, locatedIn, Saitama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitama City
Context triple: [Kita-Urawa Station, locatedIn, 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 (2 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:51 p.m.