Triple
T19637033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Fátima |
E471423
|
entity |
| Predicate | apparitionFrequency |
P136781
|
FINISHED |
| Object | monthly |
—
|
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: monthly | Statement: [Our Lady of Fátima, apparitionFrequency, monthly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apparitionFrequency Context triple: [Our Lady of Fátima, apparitionFrequency, monthly]
-
A.
apparitionWitnessCount
Indicates the number of distinct observers who witnessed a particular apparition event.
-
B.
associatedWithApparition
Indicates a relationship where something is linked or connected to an apparition, such as being caused by, accompanying, or characterizing that apparition.
-
C.
apparitionsRecognizedBy
Indicates that certain apparitions are acknowledged, identified, or accepted as genuine by a particular person, group, or authority.
-
D.
apparitionsDate
Indicates the date on which the apparitions are reported or believed to have occurred.
-
E.
reportedApparitionEntity
Indicates that an entity has been reported or described as an apparition in some account or observation.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641070528819085663c439f50148e |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.