Triple

T14857978
Position Surface form Disambiguated ID Type / Status
Subject Presidency of Cape Verde E349408 entity
Predicate hasOfficeHolder P537 FINISHED
Object Jorge Carlos Fonseca
Jorge Carlos Fonseca is a Cape Verdean politician and lawyer who served as President of Cape Verde in the 2010s.
E1140049 NE FINISHED

How this triple was built (4 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: Jorge Carlos Fonseca | Statement: [Presidency of Cape Verde, hasOfficeHolder, Jorge Carlos Fonseca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge Carlos Fonseca
Context triple: [Presidency of Cape Verde, hasOfficeHolder, Jorge Carlos Fonseca]
  • A. Fernando Ramos
    Fernando Ramos is a Spanish architect known for leading the reconstruction of Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
  • B. Jorge Fernando Branco de Sampaio
    Jorge Fernando Branco de Sampaio was a Portuguese lawyer and politician who served as President of Portugal from 1996 to 2006.
  • C. Pedro Miguel de Santana Lopes
    Pedro Miguel de Santana Lopes is a Portuguese lawyer and politician who briefly served as Prime Minister of Portugal in the mid-2000s.
  • D. Francisco Cardoso
    Francisco Cardoso is a notable individual distinguished by achievements significant enough to be specifically recognized as a bearer of the Cardoso surname.
  • E. José Luis Romeu
    José Luis Romeu is an editor known for his work on the publication titled "Grand Piano."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jorge Carlos Fonseca
Triple: [Presidency of Cape Verde, hasOfficeHolder, Jorge Carlos Fonseca]
Generated description
Jorge Carlos Fonseca is a Cape Verdean politician and lawyer who served as President of Cape Verde in the 2010s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jorge Carlos Fonseca
Target entity description: Jorge Carlos Fonseca is a Cape Verdean politician and lawyer who served as President of Cape Verde in the 2010s.
  • A. Fernando Ramos
    Fernando Ramos is a Spanish architect known for leading the reconstruction of Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
  • B. Jorge Fernando Branco de Sampaio
    Jorge Fernando Branco de Sampaio was a Portuguese lawyer and politician who served as President of Portugal from 1996 to 2006.
  • C. Pedro Miguel de Santana Lopes
    Pedro Miguel de Santana Lopes is a Portuguese lawyer and politician who briefly served as Prime Minister of Portugal in the mid-2000s.
  • D. Francisco Cardoso
    Francisco Cardoso is a notable individual distinguished by achievements significant enough to be specifically recognized as a bearer of the Cardoso surname.
  • E. José Luis Romeu
    José Luis Romeu is an editor known for his work on the publication titled "Grand Piano."
  • F. None of above. chosen

Provenance (5 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_69febfd1a1b48190b3b69b2841f643a3 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec17d53448190942e5df10ffad4e5 completed May 9, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69fec2300c4481908892a6515d99c12f completed May 9, 2026, 5:12 a.m.
Created at: April 10, 2026, 1:54 a.m.