Triple

T10363160
Position Surface form Disambiguated ID Type / Status
Subject Estelada flag E244185 entity
Predicate basedOn P98 FINISHED
Object Senyera E48716 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: Senyera | Statement: [Estelada flag, basedOn, Senyera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senyera
Context triple: [Estelada flag, basedOn, Senyera]
  • A. Senyera chosen
    The Senyera is the traditional red-and-gold striped flag that serves as the historic and national symbol of Catalonia and other Catalan-speaking regions.
  • B. Senyera Estelada
    The Senyera Estelada is a pro-independence variant of the Catalan flag featuring a lone star within a triangle, widely used as a symbol of Catalan nationalism and the movement for Catalonia’s independence.
  • C. Bandeira
    Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
  • D. Flagg
    Flagg is a sinister sorcerer and recurring villain in Stephen King’s works, notably serving as the manipulative antagonist in the fantasy novel "The Eyes of the Dragon."
  • E. Flagg
    Flagg is a surname most notably associated with American artist and illustrator James Montgomery Flagg, famed for creating the iconic "I Want YOU for U.S. Army" Uncle Sam poster.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e963a6148190822951e72590b9df completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc10284c8190bcce0f058b88ef0e completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, noon