Triple

T2818366
Position Surface form Disambiguated ID Type / Status
Subject County of Barcelona E54344 entity
Predicate languageUsed P238 FINISHED
Object Old 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: Old Catalan | Statement: [County of Barcelona, languageUsed, Old Catalan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Catalan
Context triple: [County of Barcelona, languageUsed, Old Catalan]
  • A. Pré-Catelan
    Pré-Catelan is a landscaped garden and leisure area within Paris’s Bois de Boulogne, known for its lawns, trees, and outdoor cultural events.
  • B. Old Spanish
    Old Spanish is the historical form of the Spanish language spoken in the Iberian Peninsula during the Middle Ages, from which modern Spanish and Judeo-Spanish (Ladino) evolved.
  • C. Catalan chosen
    Catalan is a Romance language spoken primarily in Catalonia, Valencia, the Balearic Islands, and parts of eastern Spain and southern France.
  • D. 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.
  • E. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde6c44d881909f8275b6466e2f20 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afcea4c994819095611958936cf090 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.