Triple

T126449
Position Surface form Disambiguated ID Type / Status
Subject Vulgar Latin E2560 entity
Predicate influenced P9 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: [Vulgar Latin, influenced, Catalan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalan
Context triple: [Vulgar Latin, influenced, 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. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • C. Andalusian Spanish
    Andalusian Spanish is a prominent regional variety of the Spanish language spoken mainly in Andalusia in southern Spain, known for distinctive phonetic features such as consonant weakening and seseo/ceceo.
  • D. Canarian Spanish
    Canarian Spanish is a regional variety of Spanish spoken in the Canary Islands, characterized by features influenced by Andalusian Spanish, Portuguese, and Latin American dialects.
  • E. Spanish
    Spanish is a Romance language originating from the Iberian Peninsula that is now one of the world’s most widely spoken languages across Europe, the Americas, and beyond.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a25761e9248190a7205bfc36cb5c45 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e4aeab48190bf2d140956278a42 completed Feb. 28, 2026, 7:50 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.