Triple

T721039
Position Surface form Disambiguated ID Type / Status
Subject Occitan E14615 entity
Predicate closelyRelatedTo P37 FINISHED
Object Catalan E5109 NE 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 | Statement: [Occitan, closelyRelatedTo, Catalan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalan
Context triple: [Occitan, closelyRelatedTo, Catalan]
  • A. Catalan chosen
    Catalan is a Romance language spoken primarily in Catalonia, Valencia, the Balearic Islands, and parts of eastern Spain and southern France.
  • B. Aragonese language
    The Aragonese language is a minority Romance language spoken primarily in the Aragon region of northeastern Spain, closely related to Spanish and Catalan.
  • C. Occitan
    Occitan is a Romance language historically spoken in southern France and neighboring regions, known for its rich medieval literary tradition and close relation to Catalan.
  • D. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • E. Catalonia
    Catalonia is an autonomous community in northeastern Spain with a distinct Catalan language and culture, a strong regional identity, and Barcelona as its capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58fa41c819082de2cc4e0cb2943 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654de91bc819088d495c8a9cb4133 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.