Triple
T2365012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Ritual |
E47359
|
entity |
| Predicate | hasCanonicalRole |
P5454
|
FINISHED |
| Object | normative source for many sacramental rites |
—
|
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: normative source for many sacramental rites | Statement: [Roman Ritual, hasCanonicalRole, normative source for many sacramental rites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalRole Context triple: [Roman Ritual, hasCanonicalRole, normative source for many sacramental rites]
-
A.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
B.
hasCanonicalReference
chosen
Indicates that one entity serves as the authoritative or standard reference source for another entity.
-
C.
hasRelativeRole
Indicates that one entity holds a familial or kinship-based role in relation to another entity.
-
D.
hasCanonicalPosition
Indicates that an entity occupies a standard, officially recognized, or authoritative position or location within a defined structure or system.
-
E.
hasEquivalentRole
Indicates that two entities hold roles that are functionally the same or interchangeable in a given context.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc7486cb48190acef1891cc87bdb1 |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.