Triple

T8796151
Position Surface form Disambiguated ID Type / Status
Subject Arpoador E209292 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Forte de Copacabana E749578 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: Forte de Copacabana | Statement: [Arpoador, hasNearbyLandmark, Forte de Copacabana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forte de Copacabana
Context triple: [Arpoador, hasNearbyLandmark, Forte de Copacabana]
  • A. Fort Copacabana chosen
    Fort Copacabana is a historic coastal military fort and popular tourist attraction located on the iconic Copacabana beachfront in Rio de Janeiro, Brazil.
  • B. Forte da Ponta da Bandeira
    Forte da Ponta da Bandeira is a 17th-century coastal fort in Lagos, Portugal, built to defend the harbor and now serving as a historic monument and viewpoint over the bay.
  • C. Fort of Santa Catarina
    The Fort of Santa Catarina is a historic coastal fortress in Portimão, Portugal, built to defend the Arade River estuary and the Algarve shoreline.
  • D. Torre do Pinhão
    Torre do Pinhão is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
  • E. Fort of São Brás
    Fort of São Brás is a 16th-century coastal fortress in Ponta Delgada on São Miguel Island in the Azores, built to defend the harbor against pirate and privateer attacks.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf890b49048190b49c784f84e23496 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:44 p.m.