Triple
T21471767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrancas del Cobre |
E529748
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Creel |
—
|
NE NERFINISHED |
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: Creel | Statement: [Barrancas del Cobre, nearbyTown, Creel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creel Context triple: [Barrancas del Cobre, nearbyTown, Creel]
-
A.
Creel
chosen
Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
-
B.
Creel
Creel is a surname most notably associated with George Creel, the American journalist and head of the U.S. Committee on Public Information during World War I.
-
C.
Chulman
Chulman is an urban-type settlement in the Sakha Republic (Yakutia), Russia, known historically for its coal mining and location near the town of Neryungri.
-
D.
River Deer
The River Deer is a small river in Devon, England, that forms part of the local drainage system before joining the River Tamar.
-
E.
Snow Creek
Snow Creek is a small ski and snowboard resort known for its winter sports facilities and family-friendly atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea14756081908c615590c68904d5 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:19 p.m.