Triple

T19237525
Position Surface form Disambiguated ID Type / Status
Subject Village of Avon E481037 entity
Predicate hasOfficialName P66 FINISHED
Object Village of Avon 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: Village of Avon | Statement: [Village of Avon, hasOfficialName, Village of Avon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Village of Avon
Context triple: [Village of Avon, hasOfficialName, Village of Avon]
  • A. Village of Avon chosen
    The Village of Avon is a small historic community in western New York State known for its rural character and proximity to the Genesee River.
  • B. Village of Ashville
    The Village of Ashville is a small incorporated community in Pickaway County, Ohio, known for its historic charm and local festivals.
  • C. Village of Wellington
    Village of Wellington is a suburban community in Palm Beach County, Florida, known for its affluent neighborhoods and world-class equestrian events.
  • D. Town of Avon
    The Town of Avon is a small suburban municipality in Norfolk County, Massachusetts, located south of Boston.
  • E. Anthony Village
    Anthony Village is a residential neighborhood in Lagos, Nigeria, known for its relatively quiet streets, educational institutions, and proximity to major transport routes on the Lagos Mainland.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faee7324819090a4c56147cb0bf5 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.