Triple

T24841055
Position Surface form Disambiguated ID Type / Status
Subject Northwest Rift Zone of Tenerife E621612 entity
Predicate hasTourismInterest P55845 FINISHED
Object volcanic landscapes and hiking routes 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: volcanic landscapes and hiking routes | Statement: [Northwest Rift Zone of Tenerife, hasTourismInterest, volcanic landscapes and hiking routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismInterest
Context triple: [Northwest Rift Zone of Tenerife, hasTourismInterest, volcanic landscapes and hiking routes]
  • A. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • B. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • C. hasTourismResource chosen
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • D. hasTouristVisits
    Indicates that one entity experiences or records visits from tourists to another entity.
  • E. hasTourismImpactOn
    Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of 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_69e2fac185d48190a0a6073ad1f6b792 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442b8479c8190a7c8e416ac9e28a0 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 5:18 a.m.