Triple

T22609637
Position Surface form Disambiguated ID Type / Status
Subject Servicio Nacional de Áreas Naturales Protegidas por el Estado E566664 entity
Predicate headquartersCountry P62 FINISHED
Object Perú 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: Perú | Statement: [Servicio Nacional de Áreas Naturales Protegidas por el Estado, headquartersCountry, Perú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perú
Context triple: [Servicio Nacional de Áreas Naturales Protegidas por el Estado, headquartersCountry, Perú]
  • A. Peru chosen
    Peru is a South American country known for its rich Inca heritage, diverse landscapes from Andes mountains to Amazon rainforest, and the iconic archaeological site of Machu Picchu.
  • B. Peru
    Peru is a small rural town in Berkshire County, Massachusetts, known for its elevated terrain and quiet, forested landscape in western New England.
  • C. Iperu
    Iperu is a prominent town in Ogun State, southwestern Nigeria, known as an important commercial and cultural center of the Remo region.
  • D. Bolivia
    Bolivia is a landlocked country in central South America known for its diverse indigenous cultures, Andean and Amazonian landscapes, and administrative capitals La Paz and Sucre.
  • E. Equador
    Equador is a small municipality in the state of Rio Grande do Norte in Brazil, known for its rural character and location within the Central Potiguar mesoregion.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167e9245c81908e36ffcd16737a9d completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:56 p.m.