Triple
T3719731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musaf prayer |
E81610
|
entity |
| Predicate | notPerformedOn |
P24459
|
FINISHED |
| Object | Weekdays without special sanctity |
—
|
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: Weekdays without special sanctity | Statement: [Musaf prayer, notPerformedOn, Weekdays without special sanctity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notPerformedOn Context triple: [Musaf prayer, notPerformedOn, Weekdays without special sanctity]
-
A.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
B.
notObservedBy
Indicates that an entity, event, or condition is not detected, recorded, or perceived by a specified observer or observation process.
-
C.
notRecitedOn
chosen
Indicates that a particular text, prayer, or recitation was not performed or spoken on a specified occasion, time, or context.
-
D.
notFlownWhen
Indicates that a flying event or action does not occur during a specified time or condition.
-
E.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca99e4248190a6a91808010b8b05 |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.