Triple

T6614361
Position Surface form Disambiguated ID Type / Status
Subject Taça de Portugal E149310 entity
Predicate finalVenueLocation P12513 FINISHED
Object Oeiras E526837 NE FINISHED

How this triple was built (3 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: Oeiras | Statement: [Taça de Portugal, finalVenueLocation, Oeiras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeiras
Context triple: [Taça de Portugal, finalVenueLocation, Oeiras]
  • A. Oeiras chosen
    Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • B. Odivelas
    Odivelas is a suburban city and municipality in the Lisbon metropolitan area of Portugal, known for its residential character and proximity to the capital.
  • C. Barreiro
    Barreiro is a small village located on the Cape Verdean island of Maio.
  • D. Barreiro
    Barreiro is a Portuguese city located on the south bank of the Tagus River opposite Lisbon, known historically for its industrial activity and as a commuter hub for the capital.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: finalVenueLocation
Context triple: [Taça de Portugal, finalVenueLocation, Oeiras]
  • A. finalConcertLocation
    Indicates the location where a concert or performance ultimately takes place, especially after any changes or planning stages.
  • B. finalReplayVenue
    Indicates the venue where a final match is replayed after an initial final did not produce a decisive result.
  • C. finalsLocation chosen
    Indicates the place where the final stage or concluding event of something (such as a competition or process) takes place.
  • D. cityOfVenue
    Indicates the city in which a given venue is located.
  • E. locatedInOperatedVenue
    Indicates that an entity is situated within a venue that is managed or operated by a specified agent or organization.
  • F. None of above.

Provenance (4 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6bdb88cc881908f35648c15a7dc85 completed March 27, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77518ecf08190825f64b47d575fba completed March 28, 2026, 6:28 a.m.
PD Predicate disambiguation batch_69c6ad007c1c8190af425f51011c7ad1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:57 p.m.