Triple
T6054027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacinta Marto |
E134862
|
entity |
| Predicate | visionCount |
P60569
|
FINISHED |
| Object | multiple Marian apparitions |
—
|
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: multiple Marian apparitions | Statement: [Jacinta Marto, visionCount, multiple Marian apparitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visionCount Context triple: [Jacinta Marto, visionCount, multiple Marian apparitions]
-
A.
numberOfVisions
chosen
Indicates the quantity of visions experienced or associated with an entity.
-
B.
variantCount
Indicates the number of distinct variants associated with a given entity or item.
-
C.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
D.
numberOfSees
Indicates the count of times a seeing or viewing event occurs between entities.
-
E.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05708fda48190ad3d1860969ebb6a |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.