Triple

T21218353
Position Surface form Disambiguated ID Type / Status
Subject Cordillera Azul National Park E522895 entity
Predicate nearestLargeCity P1982 FINISHED
Object Tarapoto 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: Tarapoto | Statement: [Cordillera Azul National Park, nearestLargeCity, Tarapoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarapoto
Context triple: [Cordillera Azul National Park, nearestLargeCity, Tarapoto]
  • A. Tarapoto chosen
    Tarapoto is a city in northern Peru known as a gateway to the Amazon rainforest and a regional hub for tourism and commerce.
  • B. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • C. Guanare
    Guanare is a city in western Venezuela that serves as the administrative and economic center of Portuguesa State.
  • D. Arauquita
    Arauquita is a Colombian municipality in the eastern plains region, known for its agricultural activities and proximity to the Venezuelan border.
  • E. Puerto Maldonado
    Puerto Maldonado is a frontier city in the Peruvian Amazon known as a gateway to the Madre de Dios rainforest and nearby biodiversity-rich reserves.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:42 p.m.