Triple

T5189623
Position Surface form Disambiguated ID Type / Status
Subject Sierra de San Francisco E117118 entity
Predicate hasHighestPointName P1674 FINISHED
Object Cerro de Santa Ana E51545 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 de Santa Ana | Statement: [Sierra de San Francisco, hasHighestPointName, Cerro de Santa Ana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro de Santa Ana
Context triple: [Sierra de San Francisco, hasHighestPointName, Cerro de Santa Ana]
  • A. Cerro Santa Ana chosen
    Cerro Santa Ana is a historic hill and popular tourist viewpoint in Guayaquil, Ecuador, known for its colorful houses, lighthouse, and panoramic city and river views.
  • 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 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.
  • E. Cerro Los Leones
    Cerro Los Leones is a hill located within the Santiago area of Chile, known as part of the local chain of urban and peri-urban elevations.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c732b48190af62dfffcbc5e3a6 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c33898081908cd91ee65a078010 completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:46 p.m.