Triple

T25002907
Position Surface form Disambiguated ID Type / Status
Subject Breton alphabet E625765 entity
Predicate representsLanguageType P45585 FINISHED
Object Celtic language 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: Celtic language | Statement: [Breton alphabet, representsLanguageType, Celtic language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsLanguageType
Context triple: [Breton alphabet, representsLanguageType, Celtic language]
  • A. hasLanguageRepresentation
    Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
  • B. hasLanguageType chosen
    Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
  • C. representsLanguageFamily
    Indicates that one entity is a language (or group of languages) that belongs to, or is classified under, the language family represented by the other entity.
  • D. hasRepresentativeLanguage
    Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
  • E. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • 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_69e2ff26c50481908bc82e799c9e6587 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f657f653448190a945b4751af8507d completed May 2, 2026, 8 p.m.
PD Predicate disambiguation batch_69f6575ba12081909396036f78757a76 completed May 2, 2026, 7:58 p.m.
Created at: April 18, 2026, 6:05 a.m.