Triple
T37285998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Zeitoun Church |
E925534
|
entity |
| Predicate | reportedApparitionsForm |
P188514
|
FINISHED |
| Object | luminous figure of the Virgin Mary |
—
|
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: luminous figure of the Virgin Mary | Statement: [Our Lady of Zeitoun Church, reportedApparitionsForm, luminous figure of the Virgin Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportedApparitionsForm Context triple: [Our Lady of Zeitoun Church, reportedApparitionsForm, luminous figure of the Virgin Mary]
-
A.
reportedApparitionEntity
Indicates that an entity has been reported or described as an apparition in some account or observation.
-
B.
reportedApparitionsVisibility
Indicates that an entity has reported seeing or being able to see apparitions.
-
C.
apparitionsWitnessedBy
Indicates that one entity is an apparition or ghostly phenomenon that has been seen or experienced by another entity.
-
D.
apparitionWitnessType
Indicates the specific manner or role in which an apparition is witnessed or experienced by an observer.
-
E.
apparitionWitnessCount
Indicates the number of distinct observers who witnessed a particular apparition event.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba789c1188190973a919bfe2871f3 |
completed | May 6, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:16 p.m.