Triple

T24832050
Position Surface form Disambiguated ID Type / Status
Subject Waiwai E621365 entity
Predicate mainAreaInBrazil P157696 FINISHED
Object northern Brazil LITERAL 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: northern Brazil | Statement: [Waiwai, mainAreaInBrazil, northern Brazil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainAreaInBrazil
Context triple: [Waiwai, mainAreaInBrazil, northern Brazil]
  • A. mainAreaInBrazil chosen
    Indicates that a given area or region is the primary or most significant area located within Brazil for a specified entity or context.
  • B. BrazilNeededResult
    Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
  • C. urbanAreaRankInBrazil
    Indicates the relative position or ranking of an urban area compared to other urban areas within Brazil.
  • D. mainAreaInGuyana
    Indicates that the subject entity is the primary geographic area or region located within the country of Guyana.
  • E. directionFromBrazil
    Indicates the relative compass direction of an entity or location as measured outward from Brazil.
  • F. None of above.

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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f497bc12b881908fe3386c66252bf6 completed May 1, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69f49366e8d08190adb4b71fe3a14683 completed May 1, 2026, 11:49 a.m.
Created at: April 18, 2026, 5:16 a.m.