Triple
T7480431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanly County |
E176741
|
entity |
| Predicate | borderedBy |
P224
|
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: [Stanly County, borderedBy, Rowan County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowan County Context triple: [Stanly County, borderedBy, 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d380b6a39c8190ade06ba0249ffa79 |
completed | April 6, 2026, 9:45 a.m. |
Created at: March 27, 2026, 3:42 p.m.