Triple

T34771921
Position Surface form Disambiguated ID Type / Status
Subject Olympic Archery Range in Barcelona E1002384 entity
Predicate languageOfDesignContext P81678 FINISHED
Object Catalan architecture 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: Catalan architecture | Statement: [Olympic Archery Range in Barcelona, languageOfDesignContext, Catalan architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfDesignContext
Context triple: [Olympic Archery Range in Barcelona, languageOfDesignContext, Catalan architecture]
  • A. languageDesigned
    Indicates that one entity created or developed the language used or associated with another entity.
  • B. hasDesignLanguage
    Indicates that one entity employs, follows, or is characterized by the design language specified by another entity.
  • C. languageProvision
    Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
  • D. primaryLanguageOfDesignTradition chosen
    Indicates the main natural language used within a particular design tradition for its communication, documentation, and conceptual development.
  • E. languageCategory
    Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
  • 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_69f76db20dac8190b1e8d0ca4dc1d59f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a00868083b081909afc3d8d4ad56b43 completed May 10, 2026, 1:22 p.m.
PD Predicate disambiguation batch_6a0084f5f72c8190b08afa82690e322a completed May 10, 2026, 1:15 p.m.
Created at: May 3, 2026, 3:59 p.m.