Triple
T19180885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kincaid, Illinois |
E469567
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Christian 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: Christian County | Statement: [Kincaid, Illinois, county, Christian County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian County Context triple: [Kincaid, Illinois, county, Christian County]
-
A.
Christian County
chosen
Christian County is a county in central Illinois known for its agricultural economy and small rural communities, with Taylorville as its county seat.
-
B.
Stoddard County
Stoddard County is a rural county in southeastern Missouri known for its agriculture and small communities within the Missouri Bootheel region.
-
C.
Boyle County
Boyle County is a county in central Kentucky known as the site of the pivotal Civil War Battle of Perryville.
-
D.
Jessamine County
Jessamine County is a county located in the central part of the U.S. state of Kentucky, known for its mix of suburban communities and rural landscapes.
-
E.
Boone County
Boone County is a rural county in southern West Virginia known historically for its coal mining communities and Appalachian landscape.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61be86c81908710341262e911cd |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.