Triple

T27609398
Position Surface form Disambiguated ID Type / Status
Subject Wildlife Sanctuary (India) E700272 entity
Predicate allowsHumanActivities P75860 FINISHED
Object regulated tourism 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: regulated tourism | Statement: [Wildlife Sanctuary (India), allowsHumanActivities, regulated tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsHumanActivities
Context triple: [Wildlife Sanctuary (India), allowsHumanActivities, regulated tourism]
  • A. hasHumanActivities
    Indicates that certain human actions, behaviors, or practices are present, performed, or associated with a given entity.
  • B. permittedActivity chosen
    Indicates that a particular action or behavior is allowed or authorized within a given context or under specified rules.
  • C. mayRestrictActivity
    Indicates that one entity has the authority or ability to limit, constrain, or prohibit certain actions or behaviors of another entity.
  • D. includesActivities
    Indicates that one entity contains, encompasses, or has as part of it the activities associated with another entity.
  • E. activitiesRestricted
    Indicates that certain actions or behaviors are limited, prohibited, or constrained under specified conditions or for particular entities.
  • 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_69ef6a4e2e208190b63b7268f405785c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 27, 2026, 2:10 p.m.