Triple

T15421305
Position Surface form Disambiguated ID Type / Status
Subject São João Railway Bridge E369385 entity
Predicate designer P184 FINISHED
Object Edgar Cardoso E639787 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: Edgar Cardoso | Statement: [São João Railway Bridge, designer, Edgar Cardoso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgar Cardoso
Context triple: [São João Railway Bridge, designer, Edgar Cardoso]
  • A. Edgar Cardoso chosen
    Edgar Cardoso was a prominent Portuguese civil engineer renowned for his innovative bridge designs and pioneering work in structural engineering in the 20th century.
  • B. Edgar Esteves
    Edgar Esteves is a music video director known for crafting visually engaging videos for prominent hip-hop and R&B artists.
  • C. Oscar Cardoso
    Oscar Cardoso is a Paraguayan professional footballer known as a prolific left-footed striker who has played for clubs such as Benfica and the Paraguay national team.
  • D. Carlos Lemos
    Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
  • E. Armando Riesco
    Armando Riesco is a Puerto Rican-American actor known for his work in film, television, and voice acting, including roles in projects like "Garden State," "National Treasure," and various video games.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebe7b1081908e6b9e6e128a8d5d completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3651518c8190a24d2aab58c3ac08 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:20 a.m.