Triple
T4184577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Our Lady of Lourdes |
E88278
|
entity |
| Predicate | recognisedMiraclesByChurch |
P45450
|
FINISHED |
| Object | over 60 cures |
—
|
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: over 60 cures | Statement: [Sanctuary of Our Lady of Lourdes, recognisedMiraclesByChurch, over 60 cures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognisedMiraclesByChurch Context triple: [Sanctuary of Our Lady of Lourdes, recognisedMiraclesByChurch, over 60 cures]
-
A.
miraclePerformedBy
Indicates that a miraculous event is carried out or caused by a particular agent or entity.
-
B.
venerationOfSaints
Indicates the act of showing honor, reverence, or devotional respect toward saints.
-
C.
viewOnMiracles
Indicates a stance or belief an entity holds regarding the existence, nature, or possibility of miracles.
-
D.
numberOfMiraclesTraditionallyAssociated
chosen
Indicates the traditionally recognized count of miracles that are associated with a particular entity or subject.
-
E.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.