Triple
T17220190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayes County |
E417957
|
entity |
| Predicate | bordersCounty |
P6346
|
FINISHED |
| Object | Wagoner County |
E281083
|
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: Wagoner County | Statement: [Mayes County, bordersCounty, Wagoner County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wagoner County Context triple: [Mayes County, bordersCounty, Wagoner County]
-
A.
Wagoner County
chosen
Wagoner County is a county in northeastern Oklahoma that includes part of the city of Broken Arrow and is part of the Tulsa metropolitan area.
-
B.
Garvin County
Garvin County is a county in south-central Oklahoma known for its agricultural economy, small towns, and location within the state's oil and gas region.
-
C.
Grainger County
Grainger County is a rural county in eastern Tennessee known for its agricultural heritage, especially its famous Grainger County tomatoes.
-
D.
Bonner County
Bonner County is a largely rural county in northern Idaho known for its forests, lakes, and outdoor recreation areas, including parts of Lake Pend Oreille and the Selkirk Mountains.
-
E.
Chickasaw County
Chickasaw County is a county in northeastern Iowa known for its rural communities, agriculture, and small towns such as Fredericksburg.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c3abb1c819083e802ac79ff4c34 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:38 a.m.