Triple

T20483827
Position Surface form Disambiguated ID Type / Status
Subject Bryson City, North Carolina E502532 entity
Predicate county P75 FINISHED
Object Swain County E1410928 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: Swain County | Statement: [Bryson City, North Carolina, county, Swain County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swain County
Context triple: [Bryson City, North Carolina, county, Swain County]
  • A. Swain County chosen
    Swain County is a largely rural county in western North Carolina known for its mountainous terrain, outdoor recreation, and proximity to Great Smoky Mountains National Park.
  • B. Randolph County
    Randolph County is a county in central North Carolina known for its rural communities, pottery heritage, and location within the Piedmont region.
  • C. Randolph County
    Randolph County is a county in southwestern Illinois known for its historic river towns, including Chester along the Mississippi River.
  • 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. Hardeman County
    Hardeman County is a rural county in northern Texas known for its agricultural economy and small-town communities near the Oklahoma border.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7cce488819080170d14a183f629 completed May 16, 2026, 8:47 p.m.
Created at: April 16, 2026, 11:34 a.m.