Triple

T16982523
Position Surface form Disambiguated ID Type / Status
Subject Cataratas de Huancaya E411979 entity
Predicate administrativeProtection P957 FINISHED
Object Peruvian national protected area system LITERAL 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: Peruvian national protected area system | Statement: [Cataratas de Huancaya, administrativeProtection, Peruvian national protected area system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeProtection
Context triple: [Cataratas de Huancaya, administrativeProtection, Peruvian national protected area system]
  • A. protectedBy chosen
    Indicates that one entity provides protection, defense, or safeguarding for another entity.
  • B. protects
    Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
  • C. providesProtectionIn
    Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
  • D. providesProtectionAgainst
    Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
  • E. administrativeFeature
    Indicates that one entity serves as an administrative or governance-related feature, function, or attribute associated with another entity.
  • F. None of above.

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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18830ac8190a20c89a87379ae94 completed April 18, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69e35d4dff4881909b384e30f2d36bff completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.