Triple

T22014342
Position Surface form Disambiguated ID Type / Status
Subject KGMU E543667 entity
Predicate nearCityCenter P350 FINISHED
Object Greenville 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: Greenville | Statement: [KGMU, nearCityCenter, Greenville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenville
Context triple: [KGMU, nearCityCenter, Greenville]
  • A. Greenville
    Greenville is a residential neighborhood in the southern part of Jersey City, New Jersey, known for its diverse community and urban character.
  • B. Greenville
    Greenville is a village and census-designated place in the town of Smithfield in Providence County, Rhode Island, known for its suburban character and historic New England charm.
  • C. Greenville
    Greenville is a small New England town in southern New Hampshire known for its historic mill village character and riverside setting.
  • D. Greenville
    Greenville is a mid-sized city in the northwestern part of South Carolina known for its revitalized downtown, cultural amenities, and role as an economic hub in the Upstate region.
  • E. Greenville
    Greenville is a small city in southern Illinois known for its historic downtown and as the home of Greenville University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a6bf6081909865781ea7937a1b completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.