Triple

T12565735
Position Surface form Disambiguated ID Type / Status
Subject Apostle of Brazil E295472 entity
Predicate titleForRegion P14832 FINISHED
Object Brazil E19289 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: Brazil | Statement: [Apostle of Brazil, titleForRegion, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazil
Context triple: [Apostle of Brazil, titleForRegion, Brazil]
  • A. Brazil chosen
    Brazil is the largest country in South America, known for its vast Amazon rainforest, diverse culture, and major cities like São Paulo and Rio de Janeiro.
  • B. Brazil
    Brazil is a 1985 dystopian science fiction film known for its darkly satirical portrayal of a bureaucratic, totalitarian society and its distinctive, surreal visual style.
  • C. Brasyl
    Brasyl is a science fiction novel by Ian McDonald that intertwines multiple timelines in Brazil to explore themes of quantum reality, culture, and globalization.
  • D. Portela
    Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • E. Republic of the United States of Brazil
    The Republic of the United States of Brazil was the federal republican regime that succeeded the Brazilian monarchy in 1889 and governed Brazil through much of the 20th century.
  • 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: titleForRegion
Context triple: [Apostle of Brazil, titleForRegion, Brazil]
  • A. regionalTitles chosen
    Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
  • B. labelRegion
    Indicates assigning a categorical or descriptive label to a specified region or area.
  • C. subRegionalTitles
    Indicates that an entity has one or more titles that apply specifically within a sub-region of a larger region or jurisdiction.
  • D. regionName
    Indicates the name assigned to a specific geographic or administrative region.
  • E. titleInLocalLanguage
    Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9550d84908190aea0f50055f6d92e completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556e9180819084ddb984754b0b54 completed May 2, 2026, 7:50 p.m.
PD Predicate disambiguation batch_69d95414692881909c52a1de7d224b44 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 11:49 p.m.