Triple
T23277707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumter County |
E588766
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Florence 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: Florence County | Statement: [Sumter County, borders, Florence County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florence County Context triple: [Sumter County, borders, Florence County]
-
A.
Florence County
chosen
Florence County is a county in northeastern South Carolina known for its regional hub city of Florence and its location along major transportation routes including Interstate 95.
-
B.
Charlton County
Charlton County is a rural county in southeastern Georgia known for encompassing much of the Okefenokee Swamp and its county seat, Folkston.
-
C.
Ware County
Ware County is a county in southeastern Georgia known for encompassing much of the Okefenokee Swamp and having Waycross as its county seat.
-
D.
Turner County
Turner County is a rural county in south-central Georgia known for its agricultural economy and small-town communities.
-
E.
Turner County
Turner County is a rural county in southeastern South Dakota that forms part of the Sioux Falls metropolitan region.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
Created at: April 17, 2026, 4:49 p.m.