Triple
T34682330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Sant’Alfonso di Liguori all’Esquilino |
E890652
|
entity |
| Predicate | iconVeneration |
P5315
|
FINISHED |
| Object | Marian devotion |
—
|
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: Marian devotion | Statement: [Church of Sant’Alfonso di Liguori all’Esquilino, iconVeneration, Marian devotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconVeneration Context triple: [Church of Sant’Alfonso di Liguori all’Esquilino, iconVeneration, Marian devotion]
-
A.
venerationType
chosen
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
B.
iconographyType
Indicates the specific kind or category of visual symbolism or imagery used to represent something.
-
C.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
-
D.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
E.
iconographicCategory
Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7232925e48190b6ecd37927325057 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.