Triple

T6160791
Position Surface form Disambiguated ID Type / Status
Subject Nossa Senhora do Socorro E137435 entity
Predicate religiousTraditionOfName P23614 FINISHED
Object Roman Catholicism LITERAL 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: Roman Catholicism | Statement: [Nossa Senhora do Socorro, religiousTraditionOfName, Roman Catholicism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousTraditionOfName
Context triple: [Nossa Senhora do Socorro, religiousTraditionOfName, Roman Catholicism]
  • A. religiousNamesake
    Indicates that one entity serves as the religiously significant figure, concept, or object after which the other entity is named.
  • B. religiousName
    Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
  • C. religiousSignificanceViaDescendant
    Indicates that something holds religious significance specifically because of, or through, one of its descendants.
  • D. traditionalReligionName
    Indicates that an entity has a name specifically associated with a traditional or indigenous religion.
  • E. partOfReligiousTradition chosen
    Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
  • F. None of above.

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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d35b2f88190abb9b90b5971e6d7 completed March 22, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69c055f5b81481908819515cdc334ae6 completed March 22, 2026, 8:49 p.m.
Created at: March 22, 2026, 4:17 p.m.