Triple
T34381850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Knock |
E882458
|
entity |
| Predicate | hasRosaryDevotion |
P130883
|
FINISHED |
| Object | public recitation of the Rosary |
—
|
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: public recitation of the Rosary | Statement: [Our Lady of Knock, hasRosaryDevotion, public recitation of the Rosary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRosaryDevotion Context triple: [Our Lady of Knock, hasRosaryDevotion, public recitation of the Rosary]
-
A.
hasDevotionalFollowing
Indicates that an entity is admired, revered, or followed with strong devotion or loyalty by a group of people.
-
B.
hasDevotionalRole
Indicates that an entity holds or performs a specific role or function within a devotional or religious practice.
-
C.
hasDevotionalForm
Indicates that one entity takes or possesses a devotional expression, format, or mode in relation to another entity or context.
-
D.
hasMonthOfSpecialDevotion
Indicates that there is a specific month associated with a special religious or spiritual devotion related to the subject.
-
E.
devotionPracticedBy
chosen
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.