Triple

T11716725
Position Surface form Disambiguated ID Type / Status
Subject Cerdanya E278517 entity
Predicate language P15 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: [Cerdanya, language, Catalan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalan
Context triple: [Cerdanya, language, 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. Catalan Wikipedia
    Catalan Wikipedia is the Catalan-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
  • C. Valencian Spanish
    Valencian Spanish is a regional variety of Spanish spoken in the Valencian Community in eastern Spain, characterized by influences from both standard Spanish and the local Valencian (Catalan) language.
  • D. Catalan Wikisource
    Catalan Wikisource is the Catalan-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
  • E. Catalanism
    Catalanism is a political and cultural movement centered on promoting the identity, language, and self-government of Catalonia and the Catalan people.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c10d988190842acd824135cf15 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83a9479c81909cbe63d81255a1bf completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.