Triple
T6812677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas of Tolentino |
E156673
|
entity |
| Predicate | miracleTradition |
P73224
|
FINISHED |
| Object | visions of souls in Purgatory |
—
|
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: visions of souls in Purgatory | Statement: [Nicholas of Tolentino, miracleTradition, visions of souls in Purgatory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: miracleTradition Context triple: [Nicholas of Tolentino, miracleTradition, visions of souls in Purgatory]
-
A.
miracleType
Indicates the specific category or kind of miracle associated with an event or entity.
-
B.
miracleDescription
Indicates that a miraculous event or phenomenon is being described or characterized.
-
C.
associatedWithMiracle
Indicates a relationship in which something is connected to, involved in, or characterized by a miracle.
-
D.
numberOfMiraclesTraditionallyAssociated
Indicates the traditionally recognized count of miracles that are associated with a particular entity or subject.
-
E.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d329861881909f65bd1017ea384b |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:17 p.m.