Triple
T1220156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Nicholas the Passion-Bearer |
E26201
|
entity |
| Predicate | reasonForCanonization |
P25961
|
FINISHED |
| Object | patient endurance of suffering |
—
|
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: patient endurance of suffering | Statement: [Saint Nicholas the Passion-Bearer, reasonForCanonization, patient endurance of suffering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForCanonization Context triple: [Saint Nicholas the Passion-Bearer, reasonForCanonization, patient endurance of suffering]
-
A.
canonizedBy
Indicates that an entity has been officially declared a saint or holy figure by a specified religious authority.
-
B.
canonizedIn
Indicates that an authority formally declared someone to be a saint or holy figure in a specified place or institution.
-
C.
canonizedAs
Indicates that an authority, typically a religious institution, has formally declared someone to be a saint or holy figure.
-
D.
canonized
Indicates that a religious authority has formally declared someone to be a saint or worthy of official veneration.
-
E.
inCanonizationStatus
Indicates that an entity has a specific status or stage within a formal canonization process.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be1ead088190bf44dc6ab1edf18b |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd3140688190ac6e24de157fd61e |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:46 p.m.