Triple
T33394634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin of Los Remedios |
E855139
|
entity |
| Predicate | roleInCatholicism |
P54251
|
FINISHED |
| Object | intercessor |
—
|
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: intercessor | Statement: [Virgin of Los Remedios, roleInCatholicism, intercessor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCatholicism Context triple: [Virgin of Los Remedios, roleInCatholicism, intercessor]
-
A.
ecclesialRole
Indicates that one entity holds or is assigned a specific role, office, or function within a church or ecclesiastical structure in relation to another entity.
-
B.
stanceOnRomanCatholicChurch
Indicates a subject’s expressed attitude, position, or viewpoint toward the Roman Catholic Church.
-
C.
liturgicalRole
Indicates the specific function or position an entity holds within a religious or liturgical context.
-
D.
ecclesiasticalRole
chosen
Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to another entity.
-
E.
religiousHierarchyRole
Indicates that one entity holds a specific position or rank within a religious hierarchy in relation to another entity or institution.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00818b20a881909fbf3bb33dcf7029 |
completed | May 10, 2026, 1 p.m. |
| PD | Predicate disambiguation | batch_6a0080f76f588190a933238861243d1a |
completed | May 10, 2026, 12:58 p.m. |
Created at: May 1, 2026, 1:35 a.m.