Triple

T22871817
Position Surface form Disambiguated ID Type / Status
Subject Patrícia Galvão E567215 entity
Predicate placeOfDeath P21 FINISHED
Object Santos NE NERFINISHED

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: Santos | Statement: [Patrícia Galvão, placeOfDeath, Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santos
Context triple: [Patrícia Galvão, placeOfDeath, Santos]
  • A. Santos chosen
    Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
  • B. Santos
    Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
  • C. Santos
    Santos is a major Australian oil and gas exploration and production company with significant operations across Australia and the Asia-Pacific region.
  • D. Vasco
    Vasco is the internal codename for Nokia's N8 smartphone, a flagship Symbian device known for its advanced camera and multimedia capabilities.
  • E. Vasco
    Vasco is a masculine given name of Portuguese and Spanish origin, historically associated with explorers and notable figures from the Iberian Peninsula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f05c688819097ba3d24ea8e52f5 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.