Triple
T13299124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa del Nayar Cora |
E316760
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Sierra del Nayar |
E319773
|
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: Sierra del Nayar | Statement: [Mesa del Nayar Cora, region, Sierra del Nayar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra del Nayar Context triple: [Mesa del Nayar Cora, region, Sierra del Nayar]
-
A.
Sierra del Nayar
chosen
Sierra del Nayar is a mountainous region in western Mexico known as a traditional homeland of the Cora people and a center of their indigenous culture.
-
B.
Sierra de Soteapan
Sierra de Soteapan is a mountainous region in southern Veracruz, Mexico, known for its rich biodiversity and indigenous Popoluca communities.
-
C.
Sierra de San Luis
Sierra de San Luis is a mountain range located on Mexico’s Baja California Peninsula, known for its rugged terrain and desert landscapes.
-
D.
Sierra del Aconquija
Sierra del Aconquija is a mountain range in northwestern Argentina known for its high peaks, glacial landscapes, and role as a key watershed for the surrounding valleys.
-
E.
Sierra del Rosario
Sierra del Rosario is a mountainous biosphere reserve in western Cuba known for its rich biodiversity, lush forests, and ecotourism opportunities.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a43ed88190a8dbbbd7d6d62dc4 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716dd0cd88190b0ae81b402fc31cf |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.