Triple

T9736725
Position Surface form Disambiguated ID Type / Status
Subject Southeast, New York E236081 entity
Predicate borderedBy P224 FINISHED
Object Carmel, New York E96050 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: Carmel, New York | Statement: [Southeast, New York, borderedBy, Carmel, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel, New York
Context triple: [Southeast, New York, borderedBy, 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. 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.
  • C. 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.
  • D. Canton, New York
    Canton, New York is a small village in St. Lawrence County that serves as the county seat and home to St. Lawrence University and SUNY Canton in the state's North Country region.
  • E. Schenectady, New York
    Schenectady, New York is a historic city in eastern New York State known for its role in early American industry and as a former hub of General Electric and the American locomotive industry.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef032088190acd94c35b89e48b7 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d29999e9248190b2f1900fa7ad3da5 completed April 5, 2026, 5:19 p.m.
Created at: March 30, 2026, 8:22 p.m.