Triple

T22061111
Position Surface form Disambiguated ID Type / Status
Subject Pitiüses E545153 entity
Predicate hasRegionalLanguageVariant P73137 FINISHED
Object Formenteran Catalan NE NERFINISHED

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: Formenteran Catalan | Statement: [Pitiüses, hasRegionalLanguageVariant, Formenteran Catalan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formenteran Catalan
Context triple: [Pitiüses, hasRegionalLanguageVariant, Formenteran Catalan]
  • A. Formenteran Catalan chosen
    Formenteran Catalan is a local variety of the Catalan language spoken on the island of Formentera in the Balearic archipelago, characterized by distinct phonetic and lexical features.
  • B. Ricard (Catalan)
    Ricard (Catalan) is the Catalan form of the given name Richard, commonly used in Catalan-speaking regions.
  • C. Mallorquí
    Mallorquí is a regional variety of the Catalan language traditionally spoken in parts of the island of Mallorca, including the area around Manacor.
  • D. Algherese Catalan
    Algherese Catalan is a Catalan dialect spoken in and around the city of Alghero in Sardinia, Italy, preserving medieval Catalan features within an Italian linguistic environment.
  • E. Catalão
    Catalão is a municipality in the southeastern part of the Brazilian state of Goiás, known for its agriculture, mining activities, and growing industrial sector.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285d5e508190b3124a70fe55b32e completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.