Triple

T19510138
Position Surface form Disambiguated ID Type / Status
Subject Ikoma Mountains E488126 entity
Predicate near P350 FINISHED
Object Higashi-Osaka 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: Higashi-Osaka City | Statement: [Ikoma Mountains, near, Higashi-Osaka City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Higashi-Osaka City
Context triple: [Ikoma Mountains, near, Higashi-Osaka City]
  • A. Higashiōsaka chosen
    Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
  • B. Settsu, Osaka
    Settsu, Osaka is a suburban city in northern Osaka Prefecture, Japan, known for its residential neighborhoods and convenient access to the Osaka metropolitan area.
  • C. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • D. Suita, Osaka
    Suita, Osaka is a city in northern Osaka Prefecture, Japan, known as a major suburban and educational hub that hosts the main campus of Osaka University.
  • E. Higashimatsuyama
    Higashimatsuyama is a city in Saitama Prefecture, Japan, known for its residential suburbs, local commerce, and rail links to the Tokyo metropolitan area.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.