Triple

T10742257
Position Surface form Disambiguated ID Type / Status
Subject Camp Nou E253355 entity
Predicate architect P184 FINISHED
Object Josep Soteras Mauri E253355 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: Josep Soteras Mauri | Statement: [Camp Nou, architect, Josep Soteras Mauri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josep Soteras Mauri
Context triple: [Camp Nou, architect, Josep Soteras Mauri]
  • A. Josep Soteras Mauri chosen
    Josep Soteras Mauri was a Spanish architect best known as one of the principal designers of FC Barcelona’s iconic Camp Nou stadium.
  • B. Jordi Porta
    Jordi Porta is a Catalan cultural activist and intellectual known for his leadership roles in major cultural and civic organizations in Catalonia.
  • C. Ramon Despuig
    Ramon Despuig was a medieval architect known for his work on the Gothic Basilica of Santa Maria del Mar in Barcelona.
  • D. Víctor Dalmau
    Víctor Dalmau is a young Spanish doctor and Republican exile whose journey through war, displacement, and rebuilding a life abroad forms the emotional core of Isabel Allende’s novel "A Long Petal of the Sea."
  • E. Jordi Mollà
    Jordi Mollà is a Spanish actor, director, and artist known for his intense character roles in both European cinema and Hollywood films such as "Blow" and "Bad Boys II."
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710456ec88190ad8aff8804d13aa9 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff78257b88190942308719d9fa6a6 completed April 15, 2026, 8:39 p.m.
Created at: April 8, 2026, 9:15 p.m.