Triple

T22642931
Position Surface form Disambiguated ID Type / Status
Subject Zeca E558879 entity
Predicate hasName P744 FINISHED
Object Zeca 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: Zeca | Statement: [Zeca, hasName, Zeca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeca
Context triple: [Zeca, hasName, Zeca]
  • A. Zeca chosen
    Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
  • B. Cafu
    Cafu is a legendary Brazilian right-back renowned for captaining Brazil to the 2002 World Cup title and for his successful club career with teams such as Roma and AC Milan.
  • C. Aloísio
    Aloísio is a masculine given name commonly used in Portuguese-speaking countries, borne by various notable figures in religion, sports, and public life.
  • D. Pires
    Pires is a Portuguese surname most famously associated with Maria João Pires, a renowned classical pianist celebrated for her interpretations of Mozart and Chopin.
  • E. Batigol
    Batigol is the famous nickname of Argentine football legend Gabriel Batistuta, one of the most prolific strikers of the 1990s and early 2000s.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703577948190ae044df4f8500bfe completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:04 p.m.