Triple
T32410942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond Leo Burke |
E828216
|
entity |
| Predicate | stanceOnLiturgy |
P70219
|
FINISHED |
| Object | support for traditional Latin liturgy |
—
|
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: support for traditional Latin liturgy | Statement: [Raymond Leo Burke, stanceOnLiturgy, support for traditional Latin liturgy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnLiturgy Context triple: [Raymond Leo Burke, stanceOnLiturgy, support for traditional Latin liturgy]
-
A.
usesAlsoLiturgy
Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
-
B.
positionOnLiturgy
chosen
Indicates the stance or viewpoint an entity holds regarding liturgical practices, forms, or regulations.
-
C.
liturgicalUsage
Indicates how something is used, practiced, or functions within a specific liturgical or worship context.
-
D.
usedInLiturgy
Indicates that something is employed or incorporated as part of a formal religious liturgy or worship service.
-
E.
liturgicalSetting
Indicates the specific religious or worship context in which a liturgical text, action, or element is intended to be used.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c256953c8190b5bfa53cf67d79c2 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:53 a.m.