Triple

T19938531
Position Surface form Disambiguated ID Type / Status
Subject Walloomsac River E479240 entity
Predicate flowsThrough P225 FINISHED
Object Hoosick Falls 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: Hoosick Falls | Statement: [Walloomsac River, flowsThrough, Hoosick Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoosick Falls
Context triple: [Walloomsac River, flowsThrough, Hoosick Falls]
  • A. Hoosick Falls, New York chosen
    Hoosick Falls, New York is a small village in eastern New York State known for its historic mill industry and location near the Vermont border.
  • B. Bellows Falls
    Bellows Falls is a historic village in southeastern Vermont known for its 19th-century industrial heritage, canal and railroad history, and well-preserved downtown architecture.
  • C. Glen Falls
    Glen Falls is a scenic waterfall and local natural landmark located in the village of Williamsville, New York.
  • D. Wappingers Falls
    Wappingers Falls is a small village in New York’s Hudson Valley known for its historic mill sites and location along Wappinger Creek.
  • E. Hoosick, New York
    Hoosick, New York is a rural town in Rensselaer County known for its historic villages, agricultural landscape, and location near the Vermont and Massachusetts borders.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a190ac08190b9dc7955c9764a71 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.