Triple
T10544862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheyenne County, Colorado |
E248790
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Cheyenne Wells, Colorado |
E871465
|
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: Cheyenne Wells, Colorado | Statement: [Cheyenne County, Colorado, countySeat, Cheyenne Wells, Colorado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheyenne Wells, Colorado Context triple: [Cheyenne County, Colorado, countySeat, Cheyenne Wells, Colorado]
-
A.
Cheyenne Wells, Colorado
chosen
Cheyenne Wells, Colorado is a small rural town in eastern Colorado that serves as the administrative and commercial hub of Cheyenne County.
-
B.
Parker Laramie
Parker Laramie is an editor known for working on the film "Jockey."
-
C.
Kim, Colorado
Kim, Colorado is a small rural town in southeastern Colorado known for its ranching community and remote High Plains setting.
-
D.
Rocky Ford, Colorado
Rocky Ford, Colorado is a small agricultural city in Otero County best known for its melon production and role in southern Colorado’s farming economy.
-
E.
Rosita, Colorado
Rosita, Colorado is a historic former silver-mining town in Custer County that is now largely a ghost town and unincorporated community.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d519128cac819086c93f3bab854ac2 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:33 p.m.