Triple

T19839181
Position Surface form Disambiguated ID Type / Status
Subject da Costa E476676 entity
Predicate hasNotableBearer P458 FINISHED
Object Manuel da Costa E516574 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: Manuel da Costa | Statement: [da Costa, hasNotableBearer, Manuel da Costa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuel da Costa
Context triple: [da Costa, hasNotableBearer, Manuel da Costa]
  • A. Manuel da Costa chosen
    Manuel da Costa is a Portuguese professional footballer best known as a central defender who has played for several European clubs and the Moroccan national team.
  • B. Manuel Gomes da Costa
    Manuel Gomes da Costa was a Portuguese military officer and politician who briefly served as President and Prime Minister after leading the 1926 coup that established the Ditadura Nacional.
  • C. José de Castro Mendes
    José de Castro Mendes was a notable Brazilian cultural figure whose legacy is honored by having a major municipal theater named after him.
  • D. Manuel da Maia
    Manuel da Maia was an 18th-century Portuguese military engineer and architect known for his significant contributions to Lisbon’s urban infrastructure and reconstruction.
  • E. Luís Gama
    Luís Gama was a 19th-century Brazilian lawyer, writer, and formerly enslaved intellectual who became one of the most influential leaders of the country’s abolitionist and Black rights movements.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65804be608190b49e110c3bf381bc completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e11c48081909366df335b984e19 completed May 16, 2026, 6:26 a.m.
Created at: April 10, 2026, 1:50 p.m.