Triple
T23277705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumter County |
E588766
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Calhoun 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: Calhoun County | Statement: [Sumter County, borders, Calhoun County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calhoun County Context triple: [Sumter County, borders, Calhoun County]
-
A.
Calhoun County
Calhoun County is a county in northeastern Alabama known for the city of Anniston, its role in regional industry and military history, and its location in the Appalachian foothills.
-
B.
Calhoun County
Calhoun County is a county in southern Michigan, United States, known for encompassing the city of Battle Creek and its surrounding communities.
-
C.
Calhoun County
Calhoun County is a rural county in the Florida Panhandle known for its forests, rivers, and small agricultural communities.
-
D.
Calhoun County
chosen
Calhoun County is a rural county in southwestern Georgia known for its agricultural landscape and small-town communities, including the city of Edison.
-
E.
Calhoun County
Calhoun County is a rural county in northwestern Iowa known for its agricultural landscape 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_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.