Triple
T3119925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | icon of Our Lady of Kazan (copy) |
E65157
|
entity |
| Predicate | hasDevotionalType |
P21326
|
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: [icon of Our Lady of Kazan (copy), hasDevotionalType, Marian devotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevotionalType Context triple: [icon of Our Lady of Kazan (copy), hasDevotionalType, Marian devotion]
-
A.
hasDevotionalFormula
Indicates a relationship where one entity includes, uses, or is associated with a specific devotional formula (such as a set religious phrase, prayer, or invocation).
-
B.
associatedDevotion
chosen
Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
-
C.
containsPrayerType
Indicates that one entity includes or encompasses a specific type or category of prayer.
-
D.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
E.
hasReligiousTheme
Indicates that something (such as a work, event, or object) centrally involves or expresses religious ideas, symbols, practices, or narratives.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4eb6a6081909df41f67999eb4ff |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.