Triple
T5146303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upstate South Carolina |
E116078
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Union County
Union County is a rural county in northern South Carolina known for its historic textile mill heritage and small-town communities.
|
E547180
|
NE FINISHED |
How this triple was built (4 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: Union County | Statement: [Upstate South Carolina, contains, Union County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union County Context triple: [Upstate South Carolina, contains, Union County]
-
A.
Union County
Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
-
B.
Union County
Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
-
C.
Union County
Union County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
-
D.
Union County
Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
-
E.
Union County
Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Union County Triple: [Upstate South Carolina, contains, Union County]
Generated description
Union County is a rural county in northern South Carolina known for its historic textile mill heritage and small-town communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Union County Target entity description: Union County is a rural county in northern South Carolina known for its historic textile mill heritage and small-town communities.
-
A.
Union County
Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
-
B.
Union County
Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
-
C.
Union County
Union County is a small, rural county in northern Florida known for its agricultural landscape and correctional institutions.
-
D.
Union County
Union County is a county in eastern Tennessee that forms part of the Knoxville metropolitan region.
-
E.
Union County
Union County is a rural county in northeastern New Mexico known for its ranching economy, wide-open High Plains landscapes, and small communities such as its county seat, Clayton.
- F. None of above. chosen
Provenance (5 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78ac677881909ce8632f1a8af880 |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097af51508190a1eb69f188a7dcb6 |
completed | March 23, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69c098ba92408190b61b115540fce941 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099b4bc4481909e7cf6886e5ccbea |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 20, 2026, 1:43 p.m.