Triple
T18186409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Gap, North Carolina |
E435426
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Watauga 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: Watauga County | Statement: [Deep Gap, North Carolina, county, Watauga County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watauga County Context triple: [Deep Gap, North Carolina, county, Watauga County]
-
A.
Watauga County
chosen
Watauga County is a mountainous county in northwestern North Carolina known for its outdoor recreation, Appalachian culture, and the college town of Boone.
-
B.
Williamsburg County
Williamsburg County is a rural county in eastern South Carolina known for its agricultural landscape, small towns, and historical ties to the Lowcountry region.
-
C.
McDowell County
McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
-
D.
Woodford County
Woodford County is a county in central Kentucky known for its horse farms, bourbon distilleries, and historic small towns.
-
E.
Maury County
Maury County is a county in Middle Tennessee known for its rich Civil War history, agricultural heritage, and its county seat, Columbia.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffe9e8081909c6bff40bbd279d2 |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.