Triple

T17341567
Position Surface form Disambiguated ID Type / Status
Subject San Cristóbal Canton E421078 entity
Predicate namedAfter P63 FINISHED
Object Saint Christopher E103267 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: Saint Christopher | Statement: [San Cristóbal Canton, namedAfter, Saint Christopher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Christopher
Context triple: [San Cristóbal Canton, 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 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.
  • C. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • D. Estevão
    Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
  • E. Saint Eustace
    Saint Eustace is a legendary Christian martyr and patron saint, often depicted with a stag bearing a crucifix between its antlers, venerated for his steadfast faith amid trials.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a173e1c8190afcebf25ee902cc8 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c588a7081909ab108cb4adfedfe completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.