Triple

T13427654
Position Surface form Disambiguated ID Type / Status
Subject Cora people E313523 entity
Predicate traditionalTerritory P1103 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: [Cora people, traditionalTerritory, Sierra del Nayar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra del Nayar
Context triple: [Cora people, traditionalTerritory, 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7c04948190a0c8ce01996e3982 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:40 p.m.