Triple
T16562554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Oxford |
E402375
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Chaffee County |
E1048578
|
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: Chaffee County | Statement: [Mount Oxford, county, Chaffee County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaffee County Context triple: [Mount Oxford, county, Chaffee County]
-
A.
Chaffee County
chosen
Chaffee County is a mountainous county in central Colorado known for its Arkansas River valley, outdoor recreation, and historic mining towns like Buena Vista and Salida.
-
B.
Hinsdale County
Hinsdale County is a sparsely populated, mountainous county in southwestern Colorado known for its rugged San Juan Mountains scenery and historic mining communities.
-
C.
Prescott County
Prescott County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Prescott and Russell.
-
D.
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.
-
E.
Custer County
Custer County is a largely rural county in central Nebraska known for its agricultural landscape and small communities.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576f757881909bfc6611361ed16d |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075925b18819084c6d476eceea5f5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:15 a.m.