Triple

T21664459
Position Surface form Disambiguated ID Type / Status
Subject A22 motorway (Portugal) E534674 entity
Predicate alsoKnownAs P39 FINISHED
Object Via do Infante 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: Via do Infante | Statement: [A22 motorway (Portugal), alsoKnownAs, Via do Infante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Via do Infante
Context triple: [A22 motorway (Portugal), alsoKnownAs, Via do Infante]
  • A. Via do Infante chosen
    Via do Infante is a major Portuguese motorway in the Algarve region that serves as an important east–west transport corridor near the southern coast.
  • B. Rua de Dom Manuel II
    Rua de Dom Manuel II is a street in Porto, Portugal, known for hosting cultural landmarks such as the Museu Nacional de Soares dos Reis.
  • C. Rua da Barroca
    Rua da Barroca is a historic street located in the old São Nicolau area of central Porto, Portugal.
  • D. Rua de São Bento
    Rua de São Bento is a notable street in Lisbon, Portugal, known for housing the Portuguese Parliament building and connecting key areas of the city’s historic center.
  • E. Avenida Infante Dom Henrique
    Avenida Infante Dom Henrique is a major waterfront avenue in Rio de Janeiro, Brazil, running along Botafogo Beach and offering views of Guanabara Bay and Sugarloaf Mountain.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0a2a58819086db5b5c1c0f3371 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.