Triple

T22044578
Position Surface form Disambiguated ID Type / Status
Subject Diversey Avenue E544726 entity
Predicate connectsArea P2564 FINISHED
Object Avondale 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: Avondale | Statement: [Diversey Avenue, connectsArea, Avondale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avondale
Context triple: [Diversey Avenue, connectsArea, Avondale]
  • A. Avondale
    Avondale is a suburban city in the Phoenix metropolitan area of Arizona, known for its rapid growth and proximity to major regional amenities.
  • B. Avondale chosen
    Avondale is a residential neighborhood on Chicago’s Northwest Side known for its diverse communities, historic Polish and Latino roots, and easy access to public transit.
  • C. Avondale
    Avondale is a residential suburb of Auckland, New Zealand, known for its diverse community and proximity to the city center.
  • D. Avondale
    Avondale is a well-known residential and commercial suburb of Harare, Zimbabwe, noted for its shopping centers and relatively affluent character.
  • E. Avondale
    Avondale is a place in Scotland whose name was used in the noble title "Duke of Clarence and Avondale" in the British peerage.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282d5bb08190849d5084962bf3a5 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.