Triple
T33439604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Our Lady of Gietrzwałd |
E856323
|
entity |
| Predicate | apparitionsNumberOfReportedApparitions |
P121573
|
FINISHED |
| Object | over 160 |
—
|
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 160 | Statement: [Sanctuary of Our Lady of Gietrzwałd, apparitionsNumberOfReportedApparitions, over 160]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apparitionsNumberOfReportedApparitions Context triple: [Sanctuary of Our Lady of Gietrzwałd, apparitionsNumberOfReportedApparitions, over 160]
-
A.
apparitionWitnessCount
chosen
Indicates the number of distinct observers who witnessed a particular apparition event.
-
B.
apparitionFrequency
Indicates how often an entity appears, manifests, or becomes perceptible within a given context or timeframe.
-
C.
apparitionsWitnessedBy
Indicates that one entity is an apparition or ghostly phenomenon that has been seen or experienced by another entity.
-
D.
apparitionsRecognizedBy
Indicates that certain apparitions are acknowledged, identified, or accepted as genuine by a particular person, group, or authority.
-
E.
apparitionsDate
Indicates the date on which the apparitions are reported or believed to have occurred.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:37 a.m.