Triple

T1169919
Position Surface form Disambiguated ID Type / Status
Subject New Holland E24890 entity
Predicate predecessor P97 FINISHED
Object Portuguese Brazil E71074 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: Portuguese Brazil | Statement: [New Holland, predecessor, Portuguese Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese Brazil
Context triple: [New Holland, predecessor, Portuguese Brazil]
  • A. Brazil
    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. Portuguese America chosen
    Portuguese America was the collective term for Portugal’s colonial possessions in the Americas, primarily encompassing the territory that later became Brazil.
  • D. German Brazilians
    German Brazilians are Brazilian citizens and residents of German ancestry, forming one of the largest and most culturally influential German-descended communities outside Europe.
  • E. Dutch Brazil
    Dutch Brazil was a short-lived 17th-century Dutch colony in northeastern Brazil, centered on Recife, that served as a key hub for the Atlantic sugar and slave trades.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce821b481908bc278a3fa7973f4 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7645abc8819086de42185bd403ed completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.