Triple

T16792176
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Celaque E408136 entity
Predicate hasHighestPoint P210 FINISHED
Object Cerro Las Minas E92188 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: Cerro Las Minas | Statement: [Sierra de Celaque, hasHighestPoint, Cerro Las Minas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Las Minas
Context triple: [Sierra de Celaque, hasHighestPoint, Cerro Las Minas]
  • A. Cerro Las Minas chosen
    Cerro Las Minas is the tallest mountain in Honduras, located in the Celaque National Park and known for its cloud forests and rich biodiversity.
  • B. Cerro Verde
    Cerro Verde is a volcanic mountain and national park in western El Salvador known for its cloud forests, scenic viewpoints, and proximity to the Izalco and Santa Ana volcanoes.
  • C. Cerro Baúl
    Cerro Baúl is a prominent flat-topped mountain in southern Peru that served as a key administrative and ceremonial center of the Wari civilization.
  • D. Cerro San Luis
    Cerro San Luis is a prominent hill in Santiago, Chile, known for its urban green space, hiking trails, and panoramic views of the city.
  • E. Cerro Naiguatá
    Cerro Naiguatá is a prominent mountain peak in northern Venezuela, known for its scenic views over the Caribbean coast and the Caracas region.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a6c9888190b3f8f625b299574d completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0adc408190a9cbfefdef8c669e completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:22 a.m.