Triple
T35845457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Matris |
E1036193
|
entity |
| Predicate | typeOfMeditation |
P21313
|
FINISHED |
| Object | sorrowful mysteries of Mary |
—
|
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: sorrowful mysteries of Mary | Statement: [Via Matris, typeOfMeditation, sorrowful mysteries of Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMeditation Context triple: [Via Matris, typeOfMeditation, sorrowful mysteries of Mary]
-
A.
meditationType
chosen
Indicates the specific kind or category of meditation practice associated with an entity.
-
B.
meditationSubject
Indicates that one entity is the topic, focus, or object upon which another entity meditates.
-
C.
hasMeditativeComponent
Indicates that an activity, practice, or process includes a meditative aspect or involves meditation as a significant component.
-
D.
spiritualPracticeType
Indicates the specific kind or category of spiritual practice associated with an entity or activity.
-
E.
numberOfMeditationMethods
Indicates the quantity of distinct meditation methods associated with or available to a given entity.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01d9ca07b88190b4ad70b6336447b6 |
completed | May 11, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_6a01d807c3048190b79f0b6b933dd3b7 |
completed | May 11, 2026, 1:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.