Triple
T33195995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian shrine of Montevergine |
E849759
|
entity |
| Predicate | veneratedImageType |
P34813
|
FINISHED |
| Object | Black Madonna |
—
|
NE NERFINISHED |
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: Black Madonna | Statement: [Marian shrine of Montevergine, veneratedImageType, Black Madonna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: veneratedImageType Context triple: [Marian shrine of Montevergine, veneratedImageType, Black Madonna]
-
A.
venerationType
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
B.
iconographyType
chosen
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
isVeneratedAs
Indicates that one entity is regarded and honored by others as sacred, holy, or worthy of deep reverence.
-
D.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
E.
veneratedOn
Indicates that an entity is honored, revered, or celebrated on a specific date or occasion.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.