Triple
T12180079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouray |
E290192
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Ridgway |
E967606
|
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: Ridgway | Statement: [Ouray, nearbyTown, Ridgway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ridgway Context triple: [Ouray, nearbyTown, Ridgway]
-
A.
Ridgway
chosen
Ridgway is a small town in southwestern Colorado known as a gateway to the San Juan Mountains and nearby outdoor recreation areas.
-
B.
Hurlburt
Hurlburt is a surname of English origin borne by various notable individuals across fields such as politics, the military, and academia.
-
C.
Chaffee
Chaffee is a surname most notably associated with Roger B. Chaffee, a U.S. Navy officer and NASA astronaut who died in the Apollo 1 accident.
-
D.
Truscott
Truscott is an English-language surname borne by various notable individuals in fields such as politics, the military, and the arts.
-
E.
Devers
Devers is a surname most notably associated with U.S. Army General Jacob L. Devers, a senior commander in the European Theater during World War II.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fc451c819086a2a97967b82908 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a88b8748190a6c95e143f370010 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.