Triple

T760771
Position Surface form Disambiguated ID Type / Status
Subject Saratoga County E16063 entity
Predicate contains P35 FINISHED
Object Mechanicville E97697 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: Mechanicville | Statement: [Saratoga County, contains, Mechanicville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mechanicville
Context triple: [Saratoga County, contains, Mechanicville]
  • A. Mechanicville, New York chosen
    Mechanicville, New York is a small city in Saratoga County historically known as a key railroad and industrial hub in upstate New York.
  • B. Vails Corners
    Vails Corners is a small hamlet located within the Town of Southeast in Putnam County, New York.
  • C. Pawling
    Pawling is a small town and village in southeastern New York State known for its rural character, historic charm, and location within Dutchess County.
  • D. Getzville, New York
    Getzville, New York is a hamlet in the town of Amherst in Erie County, known as a suburban community within the Buffalo–Niagara Falls metropolitan area.
  • E. Eggertsville, New York
    Eggertsville, New York is a suburban hamlet in Erie County that forms part of the Buffalo–Niagara Falls metropolitan area.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a68158508190998da10e69252662 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826c85e008190a7bba05607312192 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:37 p.m.