Triple

T13103007
Position Surface form Disambiguated ID Type / Status
Subject Eggertsville–Snyder Branch Library E310766 entity
Predicate serviceArea P82 FINISHED
Object Snyder, New York E475856 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: Snyder, New York | Statement: [Eggertsville–Snyder Branch Library, serviceArea, Snyder, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snyder, New York
Context triple: [Eggertsville–Snyder Branch Library, serviceArea, Snyder, New York]
  • A. Snyder, New York chosen
    Snyder, New York is a suburban hamlet in Erie County, near Buffalo, known for its residential neighborhoods and proximity to local schools and businesses.
  • B. Scio, New York
    Scio, New York is a small rural town in Allegany County known as the birthplace of Medal of Honor recipient Jason Dunham.
  • C. Clinton, New York
    Clinton, New York is a small village in Oneida County known for its historic charm and as the home of Hamilton College.
  • 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. Harrison, New York
    Harrison, New York is a suburban town in southeastern New York State known for its residential neighborhoods, corporate offices, and proximity to New York City.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387a261c8190a9ac11d6e4e7b29c completed May 8, 2026, 7:24 p.m.
Created at: April 9, 2026, 9:04 p.m.