Triple
T4877419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wet Mountain Valley |
E109237
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Rosita, Colorado |
E526439
|
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: Rosita, Colorado | Statement: [Wet Mountain Valley, hasSettlement, Rosita, Colorado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosita, Colorado Context triple: [Wet Mountain Valley, hasSettlement, Rosita, Colorado]
-
A.
Rosita, Colorado
chosen
Rosita, Colorado is a historic former silver-mining town in Custer County that is now largely a ghost town and unincorporated community.
-
B.
La Veta, Colorado
La Veta, Colorado is a small historic town in southern Colorado known as a gateway to the Spanish Peaks and the scenic Highway of Legends.
-
C.
Alamosa, Colorado
Alamosa, Colorado is a small city in the San Luis Valley known as a regional hub for southern Colorado and a gateway to Great Sand Dunes National Park.
-
D.
Cortez, Colorado
Cortez, Colorado is a small city in southwestern Colorado known as a gateway to Mesa Verde National Park and the Four Corners region.
-
E.
Aguilar, Colorado
Aguilar, Colorado is a small historic town in southern Colorado that developed as a coal-mining and railroad 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbbc734819083b28a022e5690d6 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfc60964c08190bcb128946e121bc9 |
completed | March 22, 2026, 10:35 a.m. |
Created at: March 20, 2026, 1:27 p.m.