Triple
T35184777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of the Roses |
E1015954
|
entity |
| Predicate | hasDevotionalImages |
P199471
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Our Lady of the Roses, hasDevotionalImages, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevotionalImages Context triple: [Our Lady of the Roses, hasDevotionalImages, yes]
-
A.
hasDevotionalTheme
Indicates that something (such as a work, act, or expression) centers on or embodies a devotional or worship-related theme.
-
B.
hasDevotionalTexts
Indicates that an entity possesses, includes, or is associated with devotional texts used for religious or spiritual practice.
-
C.
hasDevotionalForm
Indicates that one entity takes or possesses a devotional expression, format, or mode in relation to another entity or context.
-
D.
hasDevotionalGenre
Indicates that something belongs to or is characterized by a devotional genre, typically intended for religious or spiritual practice or reflection.
-
E.
devotionalCollection
Indicates that one entity is a curated set or compilation of devotional items, works, or practices associated with another entity.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
| PDg | Predicate description generation | batch_69ff3b323a748190827165f1cb274141 |
completed | May 9, 2026, 1:48 p.m. |
Created at: May 3, 2026, 4:02 p.m.