Triple
T3212545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Florida |
E67312
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Dixie County |
E80818
|
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: Dixie County | Statement: [North Florida, includes, Dixie County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dixie County Context triple: [North Florida, includes, Dixie County]
-
A.
Dixie County, Florida
chosen
Dixie County, Florida is a rural county in northern Florida along the Gulf Coast, known for its small communities, natural springs, and outdoor recreation areas.
-
B.
Lauderdale County
Lauderdale County is a county in the northwestern part of Alabama, known for its seat in Florence and location along the Tennessee River.
-
C.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
-
D.
Dickens County
Dickens County is a sparsely populated rural county in northwestern Texas known for its ranching heritage and wide-open plains.
-
E.
Wilcox County
Wilcox County is a rural county in south-central Alabama known for its rich Civil Rights history and location along the Alabama River in the state's Black Belt region.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabba8e481909118d9f888ddcd63 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44ed5f23c8190bfd1fb6370aad390 |
completed | March 13, 2026, 5:52 p.m. |
Created at: March 8, 2026, 3:07 p.m.