Triple
T5843811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport Municipal Airport |
E129657
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Lincoln County |
E376940
|
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: Lincoln County | Statement: [Newport Municipal Airport, region, Lincoln County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln County Context triple: [Newport Municipal Airport, region, Lincoln County]
-
A.
Lincoln County
Lincoln County is a county in North Carolina that forms part of the greater Charlotte metropolitan region.
-
B.
Lincoln County
chosen
Lincoln County is a sparsely populated rural county in eastern Colorado known for its agricultural economy and small towns on the High Plains.
-
C.
Lincoln County
Lincoln County is a county-level jurisdiction in the U.S. state of Mississippi, with Brookhaven as its county seat.
-
D.
Lincoln County
Lincoln County is a rural county in northern Idaho known for its small communities and natural landscapes.
-
E.
Lincoln County
Lincoln County is a county-level jurisdiction in the U.S. state of Wisconsin, known for its Northwoods landscapes, outdoor recreation, and communities such as Merrill and Tomahawk.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034db104881908c230de0e869f64b |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14127afdc8190a3deb020133ad894 |
completed | March 23, 2026, 1:33 p.m. |
Created at: March 22, 2026, 3:55 p.m.