Triple

T15278841
Position Surface form Disambiguated ID Type / Status
Subject Tatamá National Natural Park E365212 entity
Predicate hasLimitedTourism P53204 FINISHED
Object yes 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: yes | Statement: [Tatamá National Natural Park, hasLimitedTourism, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLimitedTourism
Context triple: [Tatamá National Natural Park, hasLimitedTourism, yes]
  • A. hasTourismRestriction chosen
    Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
  • B. hasTouristVisits
    Indicates that one entity experiences or records visits from tourists to another entity.
  • C. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • D. hasTourismImpactOn
    Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
  • E. hasTourismAuthority
    Indicates that an entity holds official responsibility or power to manage, regulate, or oversee tourism-related activities for another entity or area.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69deca90739081909bd1b797cdb8af2b completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.