Triple

T13068328
Position Surface form Disambiguated ID Type / Status
Subject Yao City E329385 entity
Predicate hasNeighboringAdministrativeUnit P17964 FINISHED
Object Neyagawa 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: Neyagawa City | Statement: [Yao City, hasNeighboringAdministrativeUnit, Neyagawa City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neyagawa City
Context triple: [Yao City, hasNeighboringAdministrativeUnit, Neyagawa City]
  • A. Neyagawa chosen
    Neyagawa is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
  • B. 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.
  • C. Osaki City
    Osaki City is a regional city in northeastern Japan known for its agricultural production, hot springs, and historical sites.
  • D. Yoshinogawa City
    Yoshinogawa City is a municipality in eastern Shikoku, Japan, known for its rural landscapes, historical sites, and proximity to the Yoshino River in Tokushima Prefecture.
  • E. Kashiwara City
    Kashiwara City is a municipality in Osaka Prefecture, Japan, known as a suburban residential and commercial area within the Osaka metropolitan region.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
Created at: April 9, 2026, 9 p.m.