Triple
T28809135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Corbinian |
E727459
|
entity |
| Predicate | hasPartInCanonizationStatus |
P192765
|
FINISHED |
| Object | pre-congregation saint |
—
|
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: pre-congregation saint | Statement: [Saint Corbinian, hasPartInCanonizationStatus, pre-congregation saint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInCanonizationStatus Context triple: [Saint Corbinian, hasPartInCanonizationStatus, pre-congregation saint]
-
A.
hasPartInCanonization
Indicates that an entity participated in or contributed to the process of canonization of another entity.
-
B.
hasCanonization
Indicates that an entity has undergone or been granted formal canonization, typically recognizing it as officially sainted or sanctified.
-
C.
hasCanonicalCoronationStatus
Indicates that an entity has an officially recognized or standard status with respect to a coronation.
-
D.
associatedWithCanonization
Indicates a relationship where an entity is involved in, linked to, or plays a role in the process or event of canonization.
-
E.
hasClosedCanon
Indicates that a body of authoritative texts is considered complete and no additional works can be added to it.
- F. None of above. chosen
Provenance (4 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 28, 2026, 6:30 a.m.