Triple
T22548135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copper Canyon Railway |
E557484
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Chepe Regional |
—
|
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: Chepe Regional | Statement: [Copper Canyon Railway, hasSection, Chepe Regional]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chepe Regional Context triple: [Copper Canyon Railway, hasSection, Chepe Regional]
-
A.
Chepe
Chepe is a masculine given name and nickname, commonly used in Spanish-speaking regions as a familiar form of names like José.
-
B.
Chepe
chosen
Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
-
C.
Cajidiocan
Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
-
D.
Jalapa region
The Jalapa region is a mountainous area in northern Nicaragua known for its cool climate, coffee production, and location along the border with Honduras.
-
E.
Guanacasteca
Guanacasteca is the Spanish term for a person from Costa Rica’s Guanacaste Province, often associated with the region’s distinct cultural traditions and identity.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f372df48190ae5dd461b1230bc7 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.