Triple

T21477447
Position Surface form Disambiguated ID Type / Status
Subject São Cristóvão (Rio de Janeiro) E529897 entity
Predicate namedAfter P63 FINISHED
Object Saint Christopher 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: Saint Christopher | Statement: [São Cristóvão (Rio de Janeiro), namedAfter, Saint Christopher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Christopher
Context triple: [São Cristóvão (Rio de Janeiro), namedAfter, Saint Christopher]
  • A. Saint Christopher chosen
    Saint Christopher is a popular Christian martyr and patron saint, traditionally venerated as the protector of travelers.
  • B. Saint Gerard
    Saint Gerard is a Roman Catholic saint venerated especially as a patron of mothers, expectant mothers, and children.
  • C. Saint Roch
    Saint Roch is a Christian saint venerated as a protector against plagues and epidemics, often depicted as a pilgrim with a dog and a leg wound.
  • D. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • E. Estevão
    Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1951fc8190910f634327aa5c3f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.