Triple

T17636280
Position Surface form Disambiguated ID Type / Status
Subject Esaka Station E430101 entity
Predicate locatedIn P40 FINISHED
Object Suita, Osaka Prefecture 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: Suita, Osaka Prefecture | Statement: [Esaka Station, locatedIn, Suita, Osaka Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suita, Osaka Prefecture
Context triple: [Esaka Station, locatedIn, Suita, Osaka Prefecture]
  • A. Suita, Osaka chosen
    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.
  • B. Sakai, Osaka
    Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
  • C. 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.
  • D. Konohana-ku, Osaka
    Konohana-ku, Osaka is a ward of Osaka City in Japan known for hosting major attractions like Universal Studios Japan and its themed entertainment areas.
  • E. Kita-ku, Osaka
    Kita-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and transportation hub that includes the bustling Umeda district.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de0ad988190b1a2c0bff69eb9f1 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.