Triple
T19748792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian Hour of Grace |
E474320
|
entity |
| Predicate | hasRecommendedPosture |
P25861
|
FINISHED |
| Object | prayerful silence |
—
|
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: prayerful silence | Statement: [Marian Hour of Grace, hasRecommendedPosture, prayerful silence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecommendedPosture Context triple: [Marian Hour of Grace, hasRecommendedPosture, prayerful silence]
-
A.
describesPosture
Indicates that one entity specifies or characterizes the bodily position or stance (posture) of another entity.
-
B.
hasLiturgicalPosture
chosen
Indicates that an entity is associated with a specific bodily posture or position used in a liturgical or religious ritual context.
-
C.
hasSeatingPose
Indicates that an entity is in a seated posture or arrangement, specifying how it is positioned while sitting.
-
D.
hasRecommendedActivity
Indicates that one entity suggests or endorses a particular activity for another entity to perform or engage in.
-
E.
proceduralPosture
Indicates the current stage or status of a legal case within the judicial or administrative process at the time it is being considered or described.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65296fa80819085aa4a18153531cf |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.