Triple

T22927739
Position Surface form Disambiguated ID Type / Status
Subject City of Salisbury E569354 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Rowan County 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: Rowan County | Statement: [City of Salisbury, locatedInAdministrativeTerritorialEntity, Rowan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowan County
Context triple: [City of Salisbury, locatedInAdministrativeTerritorialEntity, Rowan County]
  • A. Rowan County chosen
    Rowan County is a county in North Carolina that lies within the greater Charlotte metropolitan region.
  • B. Catawba County
    Catawba County is a county in western North Carolina known for its manufacturing base and inclusion in the greater Charlotte metropolitan region.
  • C. Randolph County
    Randolph County is a county in central North Carolina known for its rural communities, pottery heritage, and location within the Piedmont region.
  • D. Randolph County
    Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
  • E. Randolph County
    Randolph County is a county in southwestern Illinois known for its historic river towns, including Chester along the Mississippi River.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180da10648190a67ba113fa8c1370 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.