Triple

T22584366
Position Surface form Disambiguated ID Type / Status
Subject Village of Hamburg, New York E564745 entity
Predicate hasLocalIdentity P59181 FINISHED
Object “Hamburg Village” 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: “Hamburg Village” | Statement: [Village of Hamburg, New York, hasLocalIdentity, “Hamburg Village”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Hamburg Village”
Context triple: [Village of Hamburg, New York, hasLocalIdentity, “Hamburg Village”]
  • A. Town of Hamburg chosen
    The Town of Hamburg is a suburban municipality in Erie County, New York, located just south of Buffalo along the shores of Lake Erie.
  • B. Village of Bremen
    The Village of Bremen is a small incorporated community located in Fairfield County, Ohio, known for its residential character and local small-town amenities.
  • C. The American Village
    The American Village is a poem by early American writer Philip Freneau that reflects on colonial American life and emerging national identity.
  • D. Cabbage Town
    Cabbage Town is a residential neighborhood known for its historic character and community atmosphere.
  • E. Town of Hague
    The Town of Hague is a small Adirondack community on the shores of Lake George in upstate New York, known for its scenic natural beauty and outdoor recreation.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615b4fa08190a8d2d66e01db429f completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:44 p.m.