Triple
T738787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chihuahua |
E14995
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Copper Canyon |
E15618
|
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: Copper Canyon | Statement: [Chihuahua, contains, Copper Canyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copper Canyon Context triple: [Chihuahua, contains, Copper Canyon]
-
A.
Copper Canyon
chosen
Copper Canyon is a vast network of deep, rugged canyons in northwestern Mexico, renowned for its dramatic landscapes, indigenous Tarahumara communities, and the scenic Chepe railway.
-
B.
Havasu Canyon
Havasu Canyon is a remote, scenic side canyon of the Grand Canyon in Arizona, renowned for its turquoise waterfalls and as the homeland of the Havasupai people.
-
C.
Golden Canyon
Golden Canyon is a popular hiking area in Death Valley National Park known for its colorful, eroded badlands and scenic desert canyon trails.
-
D.
Zhemchug Canyon
Zhemchug Canyon is an enormous submarine canyon in the Bering Sea, notable for being one of the largest and deepest such canyons in the world.
-
E.
Black Canyon
Black Canyon is a steep, narrow gorge on the Colorado River along the Arizona–Nevada border, best known as the dramatic setting for the Hoover Dam.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5f1c9888190b2817138c6893cfe |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a673329a0c8190b725b9863ba4c162 |
completed | March 3, 2026, 5:35 a.m. |
Created at: March 1, 2026, 7:37 p.m.