Triple

T7816428
Position Surface form Disambiguated ID Type / Status
Subject Asaka, Saitama E181016 entity
Predicate commuterDestination P61070 FINISHED
Object Saitama City E253810 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: [Asaka, Saitama, commuterDestination, Saitama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitama City
Context triple: [Asaka, Saitama, commuterDestination, Saitama City]
  • A. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. 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.
  • C. Saitama (city) chosen
    Saitama is a major city in eastern Japan that serves as the capital of Saitama Prefecture and a key commercial and residential hub in the Greater Tokyo metropolitan area.
  • D. Ueda City
    Ueda City is a historic regional center in eastern Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its surrounding mountainous scenery.
  • E. Osaki New City
    Osaki New City is a major business and commercial district in Tokyo known for its modern office complexes, high-rise buildings, and urban redevelopment projects.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96ea6d881908eff5f750e0f6700 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ccbd8698a88190b5f9b4d232504f04 completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:39 p.m.