Triple

T16898954
Position Surface form Disambiguated ID Type / Status
Subject Chiriquí Highlands E424383 entity
Predicate contains P35 FINISHED
Object Cerro Punta E1239268 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 Punta | Statement: [Chiriquí Highlands, contains, Cerro Punta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerro Punta
Context triple: [Chiriquí Highlands, contains, Cerro Punta]
  • A. Cerro Punta chosen
    Cerro Punta is a highland agricultural town in western Panama’s Chiriquí Province, known for its cool climate, fertile volcanic soils, and proximity to cloud forests and mountain trails.
  • B. Cerro de Punta
    Cerro de Punta is the highest peak in Puerto Rico, located in the Cordillera Central mountain range.
  • C. Punta Higüero
    Punta Higüero is a coastal headland in Rincón, Puerto Rico, known for its scenic beaches, surfing spots, and prominent historic lighthouse overlooking the Mona Passage.
  • D. Cerro Castillo
    Cerro Castillo is a striking, jagged mountain in Chilean Patagonia known for its castle-like rock formations and challenging trekking routes.
  • E. 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.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8da7b0481909111358871875023 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcd0db8819080d415a18b3435e2 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.