Triple
T4070912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assumption of Mary |
E86642
|
entity |
| Predicate | isAssociatedWithDoctrine |
P5485
|
FINISHED |
| Object | Mary’s special holiness |
—
|
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: Mary’s special holiness | Statement: [Assumption of Mary, isAssociatedWithDoctrine, Mary’s special holiness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAssociatedWithDoctrine Context triple: [Assumption of Mary, isAssociatedWithDoctrine, Mary’s special holiness]
-
A.
containsDoctrine
Indicates that one entity includes, embodies, or incorporates the doctrine, principles, or teachings represented by another entity.
-
B.
usesDoctrine
Indicates that one entity applies, follows, or relies on a particular doctrine in its actions or reasoning.
-
C.
concernsDoctrine
chosen
Indicates that something is related or pertains specifically to a particular doctrine or set of doctrinal principles.
-
D.
isRelevantToDoctrine
Indicates that something has a meaningful connection or applicability to a particular doctrine, principle, or set of beliefs.
-
E.
developedDoctrine
Indicates that one entity created, formulated, or significantly advanced a particular doctrine or set of principles.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc1f6d9c8190845d2fcd15fcdfd6 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.