Triple

T18121702
Position Surface form Disambiguated ID Type / Status
Subject California Hill State Forest E433752 entity
Predicate nearbyCity P350 FINISHED
Object Carmel, New York 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: Carmel, New York | Statement: [California Hill State Forest, nearbyCity, Carmel, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel, New York
Context triple: [California Hill State Forest, nearbyCity, Carmel, New York]
  • A. Carmel, New York chosen
    Carmel, New York is a suburban town in Putnam County that serves as the county seat and is part of the greater New York City metropolitan area.
  • B. Campbell, New York
    Campbell, New York is a small rural town located in Steuben County in the Southern Tier region of the state.
  • C. Salem, New York
    Salem, New York is a small historic town and village in eastern New York State known for its rural character and 18th- and 19th-century architecture.
  • D. Carthage, New York
    Carthage, New York is a small village in Jefferson County in northern New York State, situated along the Black River near Fort Drum.
  • E. Knox, New York
    Knox, New York is a small rural town in Albany County known for its scenic Helderberg Hilltowns landscape and agricultural character.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddea61bc8190af4b3efa2596b632 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.