Triple

T8343398
Position Surface form Disambiguated ID Type / Status
Subject Catalonia national football team E195975 entity
Predicate symbol P129 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: [Catalonia national football team, symbol, Senyera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senyera
Context triple: [Catalonia national football team, symbol, 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. Bandeira
    Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
  • C. 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."
  • D. 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.
  • E. Flag of Indonesia
    The Flag of Indonesia is a simple horizontal bicolor of red over white that serves as the national flag and symbol of the Republic of Indonesia.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7febde288190bf4677fb24d26b83 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc733f7848190ab60098cb178dbfc completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.