Triple

T24907008
Position Surface form Disambiguated ID Type / Status
Subject Bénodet E623734 entity
Predicate regionTourismReputation P22814 FINISHED
Object popular seaside resort in Brittany 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: popular seaside resort in Brittany | Statement: [Bénodet, regionTourismReputation, popular seaside resort in Brittany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionTourismReputation
Context triple: [Bénodet, regionTourismReputation, popular seaside resort in Brittany]
  • A. regionalReputation chosen
    Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
  • B. tourismRegion
    Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
  • C. hasTourismRating
    Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
  • D. tourismPosition
    Indicates a spatial or organizational relationship where an entity’s location, role, or placement is defined specifically in the context of tourism activities or infrastructure.
  • E. countryTourismCategory
    Indicates the tourism classification or category assigned to a country based on its tourism characteristics or status.
  • 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 18, 2026, 5:27 a.m.