Triple

T5504106
Position Surface form Disambiguated ID Type / Status
Subject Sierra de los Órganos E144396 entity
Predicate near P350 FINISHED
Object Sierra del Rosario E147472 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 Rosario | Statement: [Sierra de los Órganos, near, Sierra del Rosario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sierra del Rosario
Context triple: [Sierra de los Órganos, near, Sierra del Rosario]
  • A. Sierra del Rosario chosen
    Sierra del Rosario is a mountainous biosphere reserve in western Cuba known for its rich biodiversity, lush forests, and ecotourism opportunities.
  • B. 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.
  • C. Sierra de Celaque
    Sierra de Celaque is a mountainous region in western Honduras known for its cloud forests, rich biodiversity, and status as a national park surrounding the country’s highest peak.
  • D. Sierra del Nayar
    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.
  • E. Sierra de los Órganos
    Sierra de los Órganos is a mountain range in western Cuba known for its distinctive limestone mogotes, extensive cave systems, and rich biodiversity.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0d21848190ae8c41561eca6342 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027aa65608190a89fdfb0da675d4d completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:32 p.m.