Triple
T6840779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Yesca |
E157566
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Durango |
E17928
|
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: Durango | Statement: [La Yesca, borderedBy, Durango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durango Context triple: [La Yesca, borderedBy, Durango]
-
A.
Durango
chosen
Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
-
B.
Durango
Durango is a historic mountain town in southwestern Colorado known for its scenic landscapes, outdoor recreation, and the Durango & Silverton Narrow Gauge Railroad.
-
C.
Taos
Taos is a historic town in northern New Mexico known for its rich Native American and Spanish heritage, thriving arts community, and proximity to scenic high-desert and mountain landscapes.
-
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.
Salida, Colorado
Salida, Colorado is a small mountain city in central Colorado known for its historic downtown, outdoor recreation on the Arkansas River, and access to the surrounding Rocky Mountains.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b4a1f88190b4f532828697fbd8 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769ee07308190abfd1d59ecb4db21 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:19 p.m.