Triple

T19996478
Position Surface form Disambiguated ID Type / Status
Subject Jorge Quinteros E494205 entity
Predicate hasClimbed P6289 FINISHED
Object Cerro San Valentín 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: Cerro San Valentín | Statement: [Jorge Quinteros, hasClimbed, Cerro San Valentín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro San Valentín
Context triple: [Jorge Quinteros, hasClimbed, Cerro San Valentín]
  • A. Cerro San Valentín chosen
    Cerro San Valentín is the highest mountain in Chilean Patagonia, rising prominently within the Northern Patagonian Ice Field of southern Chile.
  • B. Cerro San Rafael
    Cerro San Rafael is a prominent mountain peak in northeastern Mexico, notable for being the highest summit in the Sierra Madre Oriental range.
  • C. 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.
  • D. Cerro López
    Cerro López is a prominent mountain peak in Argentina’s Patagonia region, known for its panoramic views over Nahuel Huapi Lake and popular hiking and skiing routes.
  • E. 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.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe549108190947a4d1a587c08f8 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.