Triple
T2457050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lourdes apparitions of 1858 |
E54445
|
entity |
| Predicate | requestedByApparition |
P40606
|
FINISHED |
| Object | processions |
—
|
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: processions | Statement: [Lourdes apparitions of 1858, requestedByApparition, processions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requestedByApparition Context triple: [Lourdes apparitions of 1858, requestedByApparition, processions]
-
A.
reportedApparitionEntity
Indicates that an entity has been reported or described as an apparition in some account or observation.
-
B.
requestedBy
Indicates that one entity has made a request for something to be done, provided, or obtained by another entity.
-
C.
apparitionsDate
Indicates the date on which the apparitions are reported or believed to have occurred.
-
D.
requestedFrom
Indicates that one entity has made a request to another entity as the source or provider of something.
-
E.
secondApparitionDate
Indicates the date on which an entity appeared or manifested for the second time.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.