Triple
T19979594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regularis Concordia |
E493779
|
entity |
| Predicate | typeOfNormativity |
P2826
|
FINISHED |
| Object | liturgical norm |
—
|
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: liturgical norm | Statement: [Regularis Concordia, typeOfNormativity, liturgical norm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfNormativity Context triple: [Regularis Concordia, typeOfNormativity, liturgical norm]
-
A.
normativeFor
Indicates that something establishes, prescribes, or encodes the norms, standards, or rules that should govern another thing’s behavior or state.
-
B.
natureOfRule
Indicates the fundamental type or character of a rule, specifying what kind of rule it is or how it functions within a system.
-
C.
levelOfNorm
Indicates the degree or extent to which something conforms to a specified norm, standard, or expected behavior.
-
D.
hasNormativeCategory
Indicates that something is associated with a particular normative category, such as a standard, rule, or evaluative classification that prescribes how it ought to be regarded or treated.
-
E.
normType
chosen
Indicates the specific category or classification of a norm that governs or constrains an entity or situation.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d11d2108190bd1d91fdc834888b |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:27 p.m.