Triple
T13617486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimball |
E325355
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | McDowell County |
E64465
|
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: McDowell County | Statement: [Kimball, locatedIn, McDowell County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McDowell County Context triple: [Kimball, locatedIn, McDowell County]
-
A.
McDowell County
chosen
McDowell County is a rural, historically coal-mining county located in the southern part of West Virginia.
-
B.
Randolph County
Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
-
C.
Tucker County
Tucker County is a rural county in northeastern West Virginia known for its rugged Appalachian landscapes, state parks, and outdoor recreation opportunities.
-
D.
Williamsburg County
Williamsburg County is a rural county in eastern South Carolina known for its agricultural landscape, small towns, and historical ties to the Lowcountry region.
-
E.
Pendleton County
Pendleton County is a rural county in eastern West Virginia known for its mountainous terrain, outdoor recreation areas, and small, close-knit communities.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ae77e0819081e3b14642460dc6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ce06488190b18e48dfba240024 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:50 p.m.