Triple
T14928954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Briscoe County |
E372206
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Silverton |
E1128750
|
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: Silverton | Statement: [Briscoe County, contains, Silverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverton Context triple: [Briscoe County, contains, Silverton]
-
A.
Silverton
Silverton is a small historic city in Marion County, Oregon, known for its charming downtown, proximity to Silver Falls State Park, and strong agricultural roots.
-
B.
Silverton
chosen
Silverton is a small town in the Texas Panhandle that serves as the administrative and civic center of Briscoe County.
-
C.
Silverton
Silverton is a historic former mining town and popular tourist destination in southwestern Colorado, known for its rugged alpine setting and preserved Old West character.
-
D.
Pagosa Springs
Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
-
E.
Fruita
Fruita is a small city in western Colorado known for its outdoor recreation, mountain biking trails, and proximity to the Colorado National Monument.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968bbbac8190a258c42b226f9def |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:36 a.m.