Triple
T18468255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canoochee River |
E451221
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Candler 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: Candler County | Statement: [Canoochee River, flowsThrough, Candler County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candler County Context triple: [Canoochee River, flowsThrough, Candler County]
-
A.
Candler County
chosen
Candler County is a rural county in southeastern Georgia, United States, known for its agricultural economy and small-town communities.
-
B.
Terrell County
Terrell County is a sparsely populated rural county in southwestern Texas known for its rugged desert landscapes and ranching heritage.
-
C.
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.
-
D.
Crisp County
Crisp County is a rural county in south-central Georgia known for its agriculture and its county seat, Cordele.
-
E.
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.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a857b1481908ebfcf832c83376f |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.