Triple
T22715278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McRae–Helena |
E561711
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Telfair 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: Telfair County | Statement: [McRae–Helena, isPartOf, Telfair County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telfair County Context triple: [McRae–Helena, isPartOf, Telfair County]
-
A.
Telfair County
chosen
Telfair County is a rural county in south-central Georgia known for its agricultural landscape and small-town communities.
-
B.
Bulloch County
Bulloch County is a largely rural county in southeastern Georgia, known for its agricultural economy and county seat, Statesboro.
-
C.
Brantley County
Brantley County is a rural county in southeastern Georgia known for its small communities and proximity to the Okefenokee Swamp.
-
D.
Banks County
Banks County is a rural county in northeastern Georgia known for its location within the historic Georgia Gold Belt and its small-town communities.
-
E.
Tallapoosa County
Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ca59881909064d49f331fb711 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:18 p.m.