Triple
T13967974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aiken, South Carolina |
E335975
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Aiken County |
E715046
|
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: Aiken County | Statement: [Aiken, South Carolina, county, Aiken County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aiken County Context triple: [Aiken, South Carolina, county, Aiken County]
-
A.
Aiken County
chosen
Aiken County is a county in western South Carolina known for its historic towns, equestrian culture, and location along the Savannah River near the Georgia border.
-
B.
Bulloch County
Bulloch County is a largely rural county in southeastern Georgia, known for its agricultural economy and county seat, Statesboro.
-
C.
Emanuel County
Emanuel County is a rural county in east-central Georgia, United States, known for its agricultural economy and small-town communities.
-
D.
McIntosh County
McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
-
E.
Tattnall County
Tattnall County is a largely rural county in southeastern Georgia known for its agricultural economy, pine forests, and small towns such as Reidsville and Glennville.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd090350881909dd6ff12ec7e61dd |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:18 p.m.