Triple

T9290484
Position Surface form Disambiguated ID Type / Status
Subject Castell de Sant Ferran E223502 entity
Predicate hasTourGuidedVisits P7952 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: [Castell de Sant Ferran, hasTourGuidedVisits, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourGuidedVisits
Context triple: [Castell de Sant Ferran, hasTourGuidedVisits, yes]
  • A. hasTouristVisits
    Indicates that one entity experiences or records visits from tourists to another entity.
  • B. hasTouristRoute
    Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
  • C. hasTour chosen
    Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
  • D. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • E. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69cc7a5aeb748190afb89c6bbd2a6d6f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:35 p.m.