Triple

T8554370
Position Surface form Disambiguated ID Type / Status
Subject Tricolor das Laranjeiras E202527 entity
Predicate nicknameForClubFromCity P83594 FINISHED
Object Rio de Janeiro E6266 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: Rio de Janeiro | Statement: [Tricolor das Laranjeiras, nicknameForClubFromCity, Rio de Janeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio de Janeiro
Context triple: [Tricolor das Laranjeiras, nicknameForClubFromCity, Rio de Janeiro]
  • A. Rio de Janeiro chosen
    Rio de Janeiro is a major Brazilian coastal city famed for its stunning beaches, dramatic landscape, Carnival festival, and iconic Christ the Redeemer statue.
  • B. Río de Janeiro
    Río de Janeiro is a station on Buenos Aires Underground Line A in Argentina’s capital city.
  • C. Niterói
    Niterói is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches, views of Rio across the bay, and iconic modernist architecture by Oscar Niemeyer.
  • D. Petrópolis
    Petrópolis is a historic mountain city in Brazil known as the former summer residence of the Brazilian imperial family and for its well-preserved 19th-century architecture.
  • E. São Paulo
    São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
  • 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: nicknameForClubFromCity
Context triple: [Tricolor das Laranjeiras, nicknameForClubFromCity, Rio de Janeiro]
  • A. nicknameOfClubFoundedInYear
    Indicates that a given nickname belongs to a club that was founded in the specified year.
  • B. alternativeNameOfClub
    Indicates that one club is an alternative or secondary name/designation for another club.
  • C. nicknameOfClubFormerName
    Indicates that a given nickname was used for a club when it had a former or previous official name.
  • D. parentClubCity
    Indicates that a sports club is based in or belongs to a particular city as its home location.
  • E. cityOfNationalLeagueTeam
    Indicates the city in which a team that is part of the National League is based or plays its home games.
  • F. None of above. chosen

Provenance (5 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8894e7c8190bc0ae2ceec473ecb completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d0a3abc8190a6fde29e728f15fe completed April 2, 2026, 1:20 p.m.
PD Predicate disambiguation batch_69cbd1160fcc8190aa380a73610af731 completed March 31, 2026, 1:50 p.m.
PDg Predicate description generation batch_69cbe30e37ac8190b685df36274602b5 completed March 31, 2026, 3:06 p.m.
Created at: March 30, 2026, 6:19 p.m.