Triple

T16215871
Position Surface form Disambiguated ID Type / Status
Subject Church of Santi Bonifacio e Alessio E393590 entity
Predicate hasConvent P122205 FINISHED
Object true 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: true | Statement: [Church of Santi Bonifacio e Alessio, hasConvent, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConvent
Context triple: [Church of Santi Bonifacio e Alessio, hasConvent, true]
  • A. hasPreceptoryFunction
    Indicates that something serves or is assigned the role or function of a preceptory (a local administrative or command house, typically of a religious or knightly order).
  • B. hasProCathedral
    Indicates that one entity serves as or possesses a pro-cathedral (a church temporarily acting as a cathedral) in relation to another entity.
  • C. hasCoCathedral
    Indicates that a primary cathedral is associated with an additional church that shares its status and functions as a co-cathedral within the same diocese or ecclesiastical jurisdiction.
  • D. hasTempleOf
    Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
  • E. enteredConvent
    Indicates that a person has joined and been admitted into a religious convent as a member.
  • F. None of above. chosen

Provenance (4 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f4685c8190aa1e9304e4a62d13 completed April 17, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69e219e94a448190b73a4e6aa374eb4a completed April 17, 2026, 11:30 a.m.
PDg Predicate description generation batch_69e21e55a2388190b29a045a8c608ba4 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:03 a.m.