Triple
T6517827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witr prayer |
E148308
|
entity |
| Predicate | otherPossibleRakats |
P28130
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Witr prayer, otherPossibleRakats, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherPossibleRakats Context triple: [Witr prayer, otherPossibleRakats, 5]
-
A.
numberOfRakats
Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
-
B.
optionalRakatsType
chosen
Indicates that a particular type or number of rakats (units of Islamic prayer) is optionally associated with or applicable to an action, event, or prayer.
-
C.
includesOptionalRakats
Indicates that the relationship or action involves the inclusion of optional rakats (units of prayer) as part of a broader prayer or ritual sequence.
-
D.
prayerTiming
Indicates the scheduled or appropriate time at which a prayer or act of worship is to be performed.
-
E.
numberOfImams
Indicates the count of distinct imams associated with or relevant to a given entity 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac108abc819082d1368af6611a92 |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.