Triple

T24788129
Position Surface form Disambiguated ID Type / Status
Subject Rincón de Guayabitos E620172 entity
Predicate hasTourismOrientation P82318 FINISHED
Object family 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: family tourism | Statement: [Rincón de Guayabitos, hasTourismOrientation, family tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismOrientation
Context triple: [Rincón de Guayabitos, hasTourismOrientation, family tourism]
  • A. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • B. hasTourismStyle chosen
    Indicates the type or style of tourism associated with or characteristic of a particular entity.
  • C. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • D. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • E. hasTourismOrganization
    Indicates that a place or destination is associated with a specific organization responsible for managing, promoting, or coordinating its tourism activities.
  • 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_69e2fabdbe8c8190adbb9434b8636cad completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f41101379c8190b5d84f2362d42c5d completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ef612c88190ab2f3f08d4a92018 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 4:46 a.m.