Triple
T5194392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Georgia Technical College |
E117233
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Crisp County |
E126817
|
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: Crisp County | Statement: [South Georgia Technical College, county, Crisp County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crisp County Context triple: [South Georgia Technical College, county, Crisp County]
-
A.
Crisp County
chosen
Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
-
B.
Candler County
Candler County is a rural county in southeastern Georgia, United States, known for its agricultural economy and small-town communities.
-
C.
Schley County
Schley County is a rural county in west-central Georgia known for its small population, agricultural landscape, and the county seat of Ellaville.
-
D.
Ware County
Ware County is a county in southeastern Georgia known for encompassing much of the Okefenokee Swamp and having Waycross as its county seat.
-
E.
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.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10c17a648190b8ca7b85cfbfb9e4 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:46 p.m.