Triple

T1170108
Position Surface form Disambiguated ID Type / Status
Subject Pernambuco E24892 entity
Predicate regionType P1828 FINISHED
Object Sertão E125386 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: Sertão | Statement: [Pernambuco, regionType, Sertão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sertão
Context triple: [Pernambuco, regionType, Sertão]
  • A. Bahia
    Bahia is a traditional Brazilian football club based in Salvador, known for its passionate fanbase and historic success in national competitions.
  • B. Beira Litoral
    Beira Litoral was a former central coastal province of Portugal that included the city of Coimbra and stretched between the Atlantic Ocean and the interior regions.
  • C. Northeast Region of Brazil chosen
    The Northeast Region of Brazil is a culturally rich and historically significant area known for its colonial heritage, Afro-Brazilian influences, semi-arid hinterlands, and popular coastal tourist destinations.
  • D. Pantanal
    The Pantanal is one of the world’s largest tropical wetlands, renowned for its extraordinary biodiversity and vast seasonally flooded plains in central South America.
  • E. Southeast Region of Brazil
    The Southeast Region of Brazil is the country’s most populous and economically developed area, encompassing major states and cities such as São Paulo, Rio de Janeiro, and Minas Gerais.
  • 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_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f323bbc8190a55fe2101f9561e2 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.