Triple
T19437705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Oak area |
E486265
|
entity |
| Predicate | regionalHubFor |
P2958
|
FINISHED |
| Object | Suwannee 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: Suwannee County | Statement: [Live Oak area, regionalHubFor, Suwannee County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suwannee County Context triple: [Live Oak area, regionalHubFor, Suwannee County]
-
A.
Suwannee County
chosen
Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
-
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.
Lauderdale County
Lauderdale County is a county in eastern Mississippi that includes the city of Meridian and serves as a regional center for commerce, transportation, and education.
-
D.
Walton County
Walton County is a coastal county in the Florida Panhandle known for its white-sand beaches, upscale beach communities, and location along the Gulf of Mexico.
-
E.
Bailey County
Bailey County is a rural county in the western Texas Panhandle known for its agricultural economy and small communities.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336281b88190b1e5ad2606d7c314 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.