Triple

T13022792
Position Surface form Disambiguated ID Type / Status
Subject New York State Route 67 E326218 entity
Predicate passesThrough P225 FINISHED
Object Hoosick Falls E83848 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: Hoosick Falls | Statement: [New York State Route 67, passesThrough, Hoosick Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoosick Falls
Context triple: [New York State Route 67, passesThrough, 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. Tinton Falls
    Tinton Falls is a borough in Monmouth County, New Jersey, known for its namesake waterfall on the Tinton River and its mix of residential communities, commercial areas, and parklands.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcb86148190ad1b19c6e8764397 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:52 p.m.