Triple
T21858623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point A Lake |
E539698
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Covington County |
E180339
|
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: Covington County | Statement: [Point A Lake, county, Covington County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Covington County Context triple: [Point A Lake, county, Covington County]
-
A.
Covington County
chosen
Covington County is a largely rural county in southern Alabama known for its agriculture, forests, and small communities such as its county seat, Andalusia.
-
B.
Wilcox County
Wilcox County is a rural county in south-central Alabama known for its rich Civil Rights history and location along the Alabama River in the state's Black Belt region.
-
C.
Colbert County
Colbert County is a county in northwestern Alabama known for its location along the Tennessee River and its role in the Muscle Shoals metropolitan area.
-
D.
Buchanan County
Buchanan County is a rural county in northeastern Iowa known for its agricultural landscape and small communities.
-
E.
Buchanan County
Buchanan County is a rural, mountainous county in southwestern Virginia known historically for its coal mining industry and location in the Appalachian 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63944d88190b6bd5e6ba4cc8ec1 |
completed | April 28, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a59f900488190b06db217e61a6270 |
completed | May 18, 2026, 12:14 a.m. |
Created at: April 16, 2026, 6:56 p.m.