Triple

T14857977
Position Surface form Disambiguated ID Type / Status
Subject Presidency of Cape Verde E349408 entity
Predicate hasOfficeHolder P537 FINISHED
Object Pedro Pires E767841 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: Pedro Pires | Statement: [Presidency of Cape Verde, hasOfficeHolder, Pedro Pires]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pedro Pires
Context triple: [Presidency of Cape Verde, hasOfficeHolder, Pedro Pires]
  • A. Pedro Pires chosen
    Pedro Pires is a Cape Verdean politician and former president renowned for his democratic leadership and good governance, for which he received the Ibrahim Prize for Achievement in African Leadership.
  • B. José Mota
    José Mota is a Spanish comedian, actor, and television personality known for his sketch shows and film roles in Spanish-language comedy.
  • C. Jorge Sampaio
    Jorge Sampaio was a Portuguese lawyer and Socialist politician who served as President of Portugal from 1996 to 2006.
  • D. Jorge Martins
    Jorge Martins is a Portuguese artist known for his contemporary visual artworks, some of which are featured in Lisbon’s public spaces and metro system.
  • E. José Craveirinha
    José Craveirinha was a renowned Mozambican poet and journalist, celebrated as a leading voice of Lusophone African literature and anti-colonial resistance.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe650a43bc8190b836fe690d2a3c71 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.