Triple
T16324638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Central Florida |
E396380
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object | Baker County |
E385367
|
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: Baker County | Statement: [North Central Florida, containsCounty, Baker County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baker County Context triple: [North Central Florida, containsCounty, Baker County]
-
A.
Baker County
chosen
Baker County is a rural county in northern Florida known for its forests, small communities, and location near the Georgia state line.
-
B.
Clay County
Clay County is a rural county in east-central Alabama known for its forested landscapes, small communities, and location in the Appalachian foothills.
-
C.
Clay County
Clay County is the fictional Georgia county that serves as the setting for the Twelve Oaks plantation in Margaret Mitchell’s novel "Gone with the Wind."
-
D.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
-
E.
Levy County
Levy County is a rural county in Florida known for its Gulf Coast shoreline, small towns, and natural springs and forests.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a7c08288190bbaabd03dffa0ab8 |
completed | May 11, 2026, 4:57 p.m. |
Created at: April 10, 2026, 5:06 a.m.