Triple
T13706025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Peñafrancia |
E328642
|
entity |
| Predicate | associatedWithMiracles |
P61934
|
FINISHED |
| Object | healing |
—
|
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: healing | Statement: [Our Lady of Peñafrancia, associatedWithMiracles, healing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMiracles Context triple: [Our Lady of Peñafrancia, associatedWithMiracles, healing]
-
A.
associatedWithMiracle
chosen
Indicates a relationship in which something is connected to, involved in, or characterized by a miracle.
-
B.
miracleOccurs
Indicates that an event takes place which is perceived as extraordinary, inexplicable by natural or scientific laws, and often attributed to a supernatural or divine cause.
-
C.
associatedWithGod
Indicates a relationship in which an entity is linked, related, or connected in some meaningful way to a god or deity.
-
D.
miracleType
Indicates the specific category or kind of miracle associated with an event or entity.
-
E.
miraclePerformedBy
Indicates that a miraculous event is carried out or caused by a particular agent or entity.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.