Triple
T7441623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouray County, Colorado |
E171767
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ouray |
E290192
|
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: Ouray | Statement: [Ouray County, Colorado, namedAfter, Ouray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouray Context triple: [Ouray County, Colorado, namedAfter, Ouray]
-
A.
Ouray
chosen
Ouray is a small historic mountain town in southwestern Colorado known for its dramatic alpine scenery, hot springs, and ice climbing.
-
B.
Nyngan
Nyngan is a rural town in central New South Wales, Australia, situated on the Bogan River and serving as a service and transport hub for the surrounding agricultural region.
-
C.
Gunnison, Utah
Gunnison, Utah is a small rural city in central Utah known for its agricultural community and proximity to the Gunnison Reservoir.
-
D.
Rangely
Rangely is a small town in northwestern Colorado known for its energy industry, outdoor recreation, and proximity to Dinosaur National Monument.
-
E.
Escalante, Utah
Escalante, Utah is a small gateway town in southern Utah known for its proximity to Grand Staircase–Escalante National Monument and surrounding plateaus, canyons, and desert landscapes.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36b9a3c81908abcc2a64d3e6061 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9abd319048190a24be5112c810489 |
completed | March 29, 2026, 10:46 p.m. |
Created at: March 27, 2026, 3:13 p.m.