Triple
T3188873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newnan–Coweta County Airport |
E66768
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Coweta County |
E105252
|
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 County | Statement: [Newnan–Coweta County Airport, owner, Coweta County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coweta County Context triple: [Newnan–Coweta County Airport, owner, Coweta County]
-
A.
Coweta County
chosen
Coweta County is a county in west-central Georgia, part of the Atlanta metropolitan area, known for its historic communities and growing suburban population.
-
B.
Cole County
Cole County was the former name of what is now Union County in the southeastern part of South Dakota.
-
C.
Crane County
Crane County is a sparsely populated county in western Texas known for its oil production and rural desert landscape.
-
D.
Cleveland County
Cleveland County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
-
E.
Cleveland County
Cleveland County is a county in southwestern North Carolina that forms part of the greater Charlotte metropolitan region.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262126fa08190b7dd620159e3ed96 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:06 p.m.