Triple

T8309888
Position Surface form Disambiguated ID Type / Status
Subject Daniel Cady E194563 entity
Predicate placeOfBirth P1 FINISHED
Object Canaan, New York E213756 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: Canaan, New York | Statement: [Daniel Cady, placeOfBirth, Canaan, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canaan, New York
Context triple: [Daniel Cady, placeOfBirth, Canaan, New York]
  • A. Canaan, New York chosen
    Canaan, New York is a small rural town in eastern Columbia County known for its scenic landscapes and location near the Massachusetts border in upstate New York.
  • B. Candor, New York
    Candor, New York is a small rural town and village community in the Southern Tier region of upstate New York.
  • C. Broadalbin, New York
    Broadalbin, New York is a small town in upstate New York known for its rural character and proximity to the southern Adirondack region.
  • D. Fonda, New York
    Fonda, New York is a small village in the Mohawk Valley that serves as the administrative and governmental center of Montgomery County.
  • E. Oneida, New York
    Oneida, New York is a small city in Madison County known for its historical ties to the Oneida Community and its location between Syracuse and Utica in Central New York.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:54 p.m.