Triple
T7571587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNPA |
E179252
|
entity |
| Predicate | locatedInCounty |
P40
|
FINISHED |
| Object | Escambia County |
E168774
|
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: Escambia County | Statement: [KNPA, locatedInCounty, Escambia County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Escambia County Context triple: [KNPA, locatedInCounty, Escambia County]
-
A.
Escambia County
chosen
Escambia County is a county in southern Alabama known for its mix of rural communities, timber and agricultural industries, and proximity to the Florida state line.
-
B.
Suwannee County
Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
-
C.
Bay County
Bay County is a coastal county in the Florida Panhandle known for its Gulf of Mexico beaches and the city of Panama City.
-
D.
Sumter County
Sumter County is a rural county in western Alabama known for its agricultural landscape, small communities, and location along the Mississippi state line.
-
E.
Sumter County
Sumter County is a largely rural county in central Florida known for its fast-growing retirement communities, including The Villages, and its location along major transportation routes.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f921b458819092e565a4d099bbaf |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e7c5b48190b6f53f8d14ea753d |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.