Triple
T9647980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dooly County, Georgia |
E233254
|
entity |
| Predicate | hasCountyCode |
P10086
|
FINISHED |
| Object | Dooly County |
E128770
|
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: Dooly County | Statement: [Dooly County, Georgia, hasCountyCode, Dooly County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dooly County Context triple: [Dooly County, Georgia, hasCountyCode, Dooly County]
-
A.
Dooly County
chosen
Dooly County is a rural county in central Georgia known for its agricultural economy and small-town communities.
-
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.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
D.
Wilkinson County
Wilkinson County is a county in central Georgia, United States, known for its rural character and early 19th-century origins.
-
E.
Childress County
Childress County is a rural county in the eastern Texas Panhandle known for its agricultural economy and county seat, the city of Childress.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bac55b48190ab2a8f9bb83c951e |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190eec94c81909ede398926141f89 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:13 p.m.