Triple

T12509082
Position Surface form Disambiguated ID Type / Status
Subject Dove Stone area E299027 entity
Predicate locatedNear P294 FINISHED
Object Greenfield E54101 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: Greenfield | Statement: [Dove Stone area, locatedNear, Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenfield
Context triple: [Dove Stone area, locatedNear, Greenfield]
  • A. Greenfield chosen
    Greenfield is a village in the Saddleworth area of Oldham, Greater Manchester, England, situated on the edge of the Pennines.
  • B. Greenfield
    Greenfield is a town located within Saratoga County in the state of New York, United States.
  • C. Greenfield
    Greenfield is a small city located in Hennepin County, Minnesota, known for its semi-rural character and residential communities.
  • D. Greenfield
    Greenfield is a surname most notably associated with American actor Max Greenfield, known for his television and film roles.
  • E. Greenfield
    Greenfield is an unincorporated community located within Upper Township in Cape May County, New Jersey.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557243788190854208113600324e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.