Triple

T19337425
Position Surface form Disambiguated ID Type / Status
Subject Diego Costa E483656 entity
Predicate hasPlayedFor P2170 FINISHED
Object Braga NE NERFINISHED

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: Braga | Statement: [Diego Costa, hasPlayedFor, Braga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braga
Context triple: [Diego Costa, hasPlayedFor, Braga]
  • A. Braga chosen
    Braga is a historic city in northern Portugal known for its rich religious heritage, baroque architecture, and status as a regional cultural and educational center.
  • B. Guimarães
    Guimarães is a historic city in northern Portugal often regarded as the birthplace of the Portuguese nation and known for its well-preserved medieval center.
  • C. Viana do Castelo
    Viana do Castelo is a historic coastal city in northern Portugal, known for its maritime heritage, medieval architecture, and the hilltop Sanctuary of Santa Luzia overlooking the Atlantic Ocean.
  • D. Coimbra
    Coimbra is a historic Portuguese city known for its medieval architecture and the University of Coimbra, one of the oldest universities in continuous operation in the world.
  • E. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.