Triple

T6109176
Position Surface form Disambiguated ID Type / Status
Subject Old Rowan County Courthouse E136189 entity
Predicate namedAfter P63 FINISHED
Object Rowan County E182073 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: Rowan County | Statement: [Old Rowan County Courthouse, namedAfter, Rowan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rowan County
Context triple: [Old Rowan County Courthouse, namedAfter, Rowan County]
  • A. Rowan County
    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 rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
  • D. Rowan County, North Carolina chosen
    Rowan County, North Carolina is a centrally located county in the state known for its historic city of Salisbury, educational institutions, and a mix of rural and small-town communities.
  • E. Gaston County
    Gaston County is a county in North Carolina that forms part of the greater Charlotte metropolitan region, combining suburban communities with industrial and natural areas.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b835ed48190971c3ba397ca329f completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1415ce66081908c68088911f91854 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:13 p.m.