Triple
T19305699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballard County |
E482821
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Carlisle 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: Carlisle County | Statement: [Ballard County, hasBorderWith, Carlisle County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlisle County Context triple: [Ballard County, hasBorderWith, Carlisle County]
-
A.
Carlisle County
chosen
Carlisle County is a rural county in far western Kentucky, United States, known for its agricultural landscape and location within the Jackson Purchase region.
-
B.
Nelson County
Nelson County is a county in central Kentucky known for its historic towns and prominent role in the state's bourbon whiskey production.
-
C.
Nelson County
Nelson County is a rural county in northeastern North Dakota known for its agricultural landscape and small communities.
-
D.
Nelson County
Nelson County is a rural county in central Virginia known for its Blue Ridge Mountain scenery, outdoor recreation, and historic small communities.
-
E.
Alleghany County
Alleghany County is a rural county in northwestern North Carolina located in the Blue Ridge Mountains along the Virginia border.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c84fe08190869463bdd0324160 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.