Triple
T11819370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagoner County |
E281083
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Coweta |
E869229
|
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: Coweta | Statement: [Wagoner County, contains, Coweta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coweta Context triple: [Wagoner County, contains, Coweta]
-
A.
Coweta
chosen
Coweta is a small city in northeastern Oklahoma that functions as a suburban community within the greater Tulsa metropolitan area.
-
B.
Coweta County
Coweta County is a county in west-central Georgia, part of the Atlanta metropolitan area, known for its historic communities and growing suburban population.
-
C.
Okfuskee County
Okfuskee County is a rural county in east-central Oklahoma known for its small communities, including the county seat of Okemah, and its historical ties to Native American nations.
-
D.
Butler County
Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
-
E.
Butler County
Butler County is a rural county in north-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 (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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131cbf9708190ba8394fb3508b975 |
completed | April 28, 2026, 10:16 p.m. |
Created at: April 8, 2026, 9:42 p.m.