Triple

T10363237
Position Surface form Disambiguated ID Type / Status
Subject #11S E244186 entity
Predicate relatedHashtag P9354 FINISHED
Object #Diada E48721 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: #Diada | Statement: [#11S, relatedHashtag, #Diada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: #Diada
Context triple: [#11S, relatedHashtag, #Diada]
  • A. #Diada chosen
    #Diada is the commonly used social media hashtag for the National Day of Catalonia, marking the region’s annual celebration of its identity and political aspirations.
  • B. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • C. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • D. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • E. La Diada
    La Diada is the National Day of Catalonia, commemorating the fall of Barcelona in 1714 and serving as a major annual expression of Catalan identity and political aspirations.
  • 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_69d750c2d2748190b871b928d5a094f8 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, noon