Triple
T742537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stations of the Cross |
E15273
|
entity |
| Predicate | devotionalForm |
P11149
|
FINISHED |
| Object | Meditative prayer |
—
|
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: Meditative prayer | Statement: [Stations of the Cross, devotionalForm, Meditative prayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devotionalForm Context triple: [Stations of the Cross, devotionalForm, Meditative prayer]
-
A.
religiousMood
Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
-
B.
worshipType
chosen
Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual context.
-
C.
religiousFunction
Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
-
D.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
E.
worship
Indicates a relationship where one entity shows reverence, adoration, or religious devotion toward another entity, often recognizing it as sacred or divine.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.