Triple
T22715279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McRae–Helena |
E561711
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Wheeler County |
—
|
NE NERFINISHED |
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: Wheeler County | Statement: [McRae–Helena, isPartOf, Wheeler County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheeler County Context triple: [McRae–Helena, isPartOf, Wheeler County]
-
A.
Wheeler County
chosen
Wheeler County is a rural county in central Georgia known for its small population, agricultural landscape, and location along the Oconee River.
-
B.
Wheeler County
Wheeler County is a rural county in the eastern Texas Panhandle known for its ranching, agriculture, and small-town communities.
-
C.
Storey County
Storey County is a small, historic county in northern Nevada best known for the Comstock Lode mining district and the preserved 19th-century town of Virginia City.
-
D.
Sherman County
Sherman County is a rural county in central Nebraska known for its agricultural landscape and small communities.
-
E.
Sherman County
Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ca59881909064d49f331fb711 |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:18 p.m.