Triple
T23160082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garvin County |
E578557
|
entity |
| Predicate | bordersOn |
P224
|
FINISHED |
| Object | McClain 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: McClain County | Statement: [Garvin County, bordersOn, McClain County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McClain County Context triple: [Garvin County, bordersOn, McClain County]
-
A.
McClain County
chosen
McClain County is a county in central Oklahoma that forms part of the greater Oklahoma City metropolitan region.
-
B.
Noble County
Noble County is a rural county in southeastern Ohio known for its small communities, Appalachian landscape, and historical ties to the state’s early oil and gas industry.
-
C.
Kelan County
Kelan County is a county in Xinzhou, Shanxi Province, China, known for its proximity to the Taiyuan Satellite Launch Center, one of the country’s major space launch facilities.
-
D.
Grundy County
Grundy County is a county in northeastern Illinois known for its mix of rural communities, agriculture, and growing exurban areas southwest of the Chicago metropolitan region.
-
E.
Grundy County
Grundy County is a rural county in central 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18eff965081909aaa6fc1910293e2 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.