Triple

T20166720
Position Surface form Disambiguated ID Type / Status
Subject Abeno-ku, Osaka E491841 entity
Predicate hasMajorArea P36071 FINISHED
Object Abeno area 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: Abeno area | Statement: [Abeno-ku, Osaka, hasMajorArea, Abeno area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abeno area
Context triple: [Abeno-ku, Osaka, hasMajorArea, Abeno area]
  • A. Abeno district chosen
    Abeno district is a major commercial and residential area in Osaka, Japan, known for its large shopping complexes and the landmark Abeno Harukas skyscraper.
  • B. Yodoyabashi area
    The Yodoyabashi area is a central business and financial district in Osaka known for its historic architecture, major corporate offices, and proximity to government institutions.
  • C. Azabu area
    The Azabu area is a central Tokyo neighborhood known for its upscale residential streets, international community, embassies, and proximity to Roppongi and other major districts.
  • D. Yokokawa area
    The Yokokawa area is one of the three main temple precincts of Enryaku-ji on Mount Hiei, known for its secluded, forested setting and historic Buddhist halls.
  • E. Ichigaya area
    The Ichigaya area is a central Tokyo district known for its mix of government and educational institutions, office buildings, and riverside views along the outer moat of the Imperial Palace.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.