Triple
T4227127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calhoun County, Florida |
E94484
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Blountstown, Florida |
E319867
|
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: Blountstown, Florida | Statement: [Calhoun County, Florida, hasCity, Blountstown, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blountstown, Florida Context triple: [Calhoun County, Florida, hasCity, Blountstown, Florida]
-
A.
Blountstown, Florida
chosen
Blountstown, Florida is a small city in Calhoun County known as a regional hub in Florida’s rural Panhandle.
-
B.
Lovett, Florida
Lovett, Florida is a small unincorporated rural community located in Madison County in the northern part of the state.
-
C.
Copeland, Florida
Copeland, Florida is a small unincorporated community in southwestern Florida, located near the Big Cypress National Preserve and the Everglades.
-
D.
Layton, Florida
Layton, Florida is a small coastal city in the Florida Keys located on Long Key in Monroe County.
-
E.
Ochopee, Florida
Ochopee, Florida is a tiny unincorporated community in the Florida Everglades best known for having one of the smallest post offices in the United States.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65f1b86908190965342d8da0ff545 |
completed | March 15, 2026, 7:26 a.m. |
Created at: March 12, 2026, 11:04 p.m.