Triple
T21367251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haswell, Colorado |
E526948
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Kiowa 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: Kiowa County | Statement: [Haswell, Colorado, county, Kiowa County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiowa County Context triple: [Haswell, Colorado, county, Kiowa County]
-
A.
Kiowa County
chosen
Kiowa County is a sparsely populated rural county in the High Plains of southeastern Colorado, known for its agricultural economy and wide-open prairie landscapes.
-
B.
Red Willow County
Red Willow County is a county in southwestern Nebraska, with McCook as its county seat and primary population center.
-
C.
Pondera County
Pondera County is a rural county in northwestern Montana known for its agricultural economy, open plains, and proximity to the Rocky Mountain Front.
-
D.
Custer County
Custer County is a largely rural county in central Nebraska known for its agricultural landscape and small communities.
-
E.
Custer County
Custer County is a county in southwestern South Dakota known for its Black Hills scenery, outdoor recreation, and attractions such as Custer State Park and the Crazy Horse Memorial.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bae5eb88190be6d9ff4dc03d52b |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.