Triple

T17508375
Position Surface form Disambiguated ID Type / Status
Subject Orange County Government Center E426384 entity
Predicate locatedIn P40 FINISHED
Object Goshen, 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: Goshen, New York | Statement: [Orange County Government Center, locatedIn, Goshen, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goshen, New York
Context triple: [Orange County Government Center, locatedIn, Goshen, New York]
  • A. Goshen, New York chosen
    Goshen, New York is a historic village in the Hudson Valley known for its role as the county seat and its longstanding equestrian and agricultural heritage.
  • B. Goshen
    Goshen is a small city in northern Indiana known for its manufacturing base, Mennonite and Amish heritage, and historic downtown.
  • C. Goshen
    Goshen was a short-lived Boer republic in southern Africa established by Voortrekker settlers during the 1880s.
  • D. Goshen
    Goshen is the fertile region in ancient Egypt where the Israelites settled during the time of Joseph, as recounted in the Book of Genesis.
  • E. Goshen
    Goshen is a small town in Utah County, Utah, situated in the southern part of Utah Valley.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.