Triple

T5724467
Position Surface form Disambiguated ID Type / Status
Subject Cerro Castillo National Park E126227 entity
Predicate hasMountain P10602 FINISHED
Object Cerro Castillo E551146 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 Castillo | Statement: [Cerro Castillo National Park, hasMountain, Cerro Castillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Castillo
Context triple: [Cerro Castillo National Park, hasMountain, Cerro Castillo]
  • A. Cerro Castillo chosen
    Cerro Castillo is a striking, jagged mountain in Chilean Patagonia known for its castle-like rock formations and challenging trekking routes.
  • B. 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.
  • 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 Rafael
    Cerro San Rafael is a prominent mountain peak in northeastern Mexico, notable for being the highest summit in the Sierra Madre Oriental range.
  • E. Cerro Catedral
    Cerro Catedral is one of South America's largest and most popular ski resorts, located in the mountains near San Carlos de Bariloche in Argentine Patagonia.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02506d8288190b33bede6c22af773 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0ba6ef48190b2219879222ca10c completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:47 p.m.