Triple
T158465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosary |
E3228
|
entity |
| Predicate | meditatesOn |
P2154
|
FINISHED |
| Object | mysteries of the life of Christ |
—
|
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: mysteries of the life of Christ | Statement: [Rosary, meditatesOn, mysteries of the life of Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meditatesOn Context triple: [Rosary, meditatesOn, mysteries of the life of Christ]
-
A.
philosophicalTradition
Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular philosophical school, movement, or line of thought.
-
B.
philosophicalTheme
Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
-
C.
religiousElement
chosen
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
D.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
E.
worshippedIn
Indicates that a particular deity, figure, or object of reverence is the focus of religious or spiritual worship within a specified place or context.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.