Triple
T6442668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpus Christi |
E138261
|
entity |
| Predicate | isLinkedToDoctrine |
P15801
|
FINISHED |
| Object | sacrifice of the Mass |
—
|
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: sacrifice of the Mass | Statement: [Corpus Christi, isLinkedToDoctrine, sacrifice of the Mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinkedToDoctrine Context triple: [Corpus Christi, isLinkedToDoctrine, sacrifice of the Mass]
-
A.
containsDoctrine
chosen
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.
isPartOfDoctrineArea
Indicates that one concept, topic, or element belongs to or falls within the scope of a particular doctrinal area or field of doctrine.
-
D.
createdDoctrine
Indicates that an entity originated, formulated, or established a particular doctrine, theory, or set of principles.
-
E.
citedForDoctrine
Indicates that one entity is cited as an authoritative source or precedent for a particular doctrine, principle, or rule in relation to another entity.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698b030481908b7bb4e16a8b3339 |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.