Triple

T6093312
Position Surface form Disambiguated ID Type / Status
Subject Cerro Otto E135817 entity
Predicate near P350 FINISHED
Object Cerro Catedral E135596 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 Catedral | Statement: [Cerro Otto, near, Cerro Catedral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Catedral
Context triple: [Cerro Otto, near, Cerro Catedral]
  • A. Cerro Catedral chosen
    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.
  • B. Cerro La Catedral
    Cerro La Catedral is the highest peak of the Sierra de las Cruces mountain range in central Mexico, notable for its prominence in the region’s volcanic highlands.
  • C. Cerro Castillo
    Cerro Castillo is a striking, jagged mountain in Chilean Patagonia known for its castle-like rock formations and challenging trekking routes.
  • 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 San Cristóbal
    Cerro San Cristóbal is a prominent hill and urban park in Santiago, Chile, known for its panoramic city views, religious sanctuaries, and recreational attractions.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ac8c7481909fb22cf157be45ce completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14158c4fc81908a42e431423284d2 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:12 p.m.