Triple

T6363058
Position Surface form Disambiguated ID Type / Status
Subject J-Air E143156 entity
Predicate headquartersLocation P62 FINISHED
Object Ikeda, Osaka, Japan E302504 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: Ikeda, Osaka, Japan | Statement: [J-Air, headquartersLocation, Ikeda, Osaka, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikeda, Osaka, Japan
Context triple: [J-Air, headquartersLocation, Ikeda, Osaka, Japan]
  • A. Ikeda, Osaka Prefecture chosen
    Ikeda is a city in Osaka Prefecture, Japan, known as one of the municipalities served by Osaka International (Itami) Airport and for its residential neighborhoods and industrial facilities.
  • B. Namba, Osaka, Japan
    Namba, Osaka, Japan is a major commercial and entertainment district in central Osaka known for its bustling shopping streets, nightlife, and transportation hubs.
  • C. Kadoma, Osaka, Japan
    Kadoma is a city in Osaka Prefecture, Japan, known as a major industrial and corporate hub in the Kansai region.
  • D. Kita-ku, Osaka, Japan
    Kita-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that includes the bustling Umeda district.
  • E. Abeno-ku, Osaka, Japan
    Abeno-ku is a central ward of Osaka, Japan, known as a major commercial and transportation hub that hosts the landmark skyscraper Abeno Harukas.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680d51a4819098a6bcd3dfd73be4 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d73a6ac8190a02602c3506e4226 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.