Triple
T21325603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oconee County, South Carolina |
E525746
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Westminster, South Carolina |
—
|
NE NERFINISHED |
How this triple was built (3 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: Westminster, South Carolina | Statement: [Oconee County, South Carolina, hasTown, Westminster, South Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westminster, South Carolina Context triple: [Oconee County, South Carolina, hasTown, Westminster, South Carolina]
-
A.
Clinton, South Carolina
Clinton, South Carolina is a small city in upstate South Carolina known historically as a textile and railroad community and home to Presbyterian College.
-
B.
Lexington, South Carolina
Lexington, South Carolina is a rapidly growing suburban town near Columbia that serves as the county seat of Lexington County and a commercial hub of the central Midlands region.
-
C.
Salem, South Carolina
Salem, South Carolina is a small town in Oconee County known as a gateway to outdoor recreation in the Blue Ridge Mountains, including access to Lake Jocassee and nearby state parks.
-
D.
York, South Carolina
York, South Carolina is a small historic city in the north-central part of the state known for its preserved downtown district and role in the Charlotte metropolitan area.
-
E.
Mount Pleasant, South Carolina
Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westminster, South Carolina Target entity description: Westminster, South Carolina is a small city in northwestern South Carolina known for its historic downtown, annual Apple Festival, and location near the Blue Ridge Mountains.
-
A.
Clinton, South Carolina
Clinton, South Carolina is a small city in upstate South Carolina known historically as a textile and railroad community and home to Presbyterian College.
-
B.
Lexington, South Carolina
Lexington, South Carolina is a rapidly growing suburban town near Columbia that serves as the county seat of Lexington County and a commercial hub of the central Midlands region.
-
C.
Salem, South Carolina
Salem, South Carolina is a small town in Oconee County known as a gateway to outdoor recreation in the Blue Ridge Mountains, including access to Lake Jocassee and nearby state parks.
-
D.
York, South Carolina
York, South Carolina is a small historic city in the north-central part of the state known for its preserved downtown district and role in the Charlotte metropolitan area.
-
E.
Mount Pleasant, South Carolina
Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
- F. None of above. chosen
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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4843088190a4fa1cc87f0ca824 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.