Triple

T9388344
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Navy E225958 entity
Predicate hasMainNavalBaseIn P32766 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: [Brazilian Navy, hasMainNavalBaseIn, Rio de Janeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio de Janeiro
Context triple: [Brazilian Navy, hasMainNavalBaseIn, 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: hasMainNavalBaseIn
Context triple: [Brazilian Navy, hasMainNavalBaseIn, Rio de Janeiro]
  • A. isNavalBase
    Indicates that a location functions as a naval base, serving as an operational facility or station for naval forces.
  • B. hasNavalFacility chosen
    Indicates that one entity possesses, hosts, or contains a naval facility (such as a naval base, port, or installation) associated with it.
  • C. establishedAsNavalBase
    Indicates that a location was formally designated and put into use as a naval base.
  • D. hasNavalComponent
    Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
  • E. largestNavalBaseIn
    Indicates that one entity is the largest naval base located within the specified geographic or political region.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d6e5f081908102909cb4cbb649 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f50f1c4819099a9c511f58e9873 completed April 4, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69cca53bd6ec81909bf403ce304e5c08 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:45 p.m.