Triple
T24294883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asr |
E605929
|
entity |
| Predicate | missingPrayerRuling |
P36007
|
FINISHED |
| Object | must be made up (qada) |
—
|
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: must be made up (qada) | Statement: [Asr, missingPrayerRuling, must be made up (qada)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missingPrayerRuling Context triple: [Asr, missingPrayerRuling, must be made up (qada)]
-
A.
canBePrayed
Indicates that an entity is a suitable or valid target for prayer or religious supplication.
-
B.
hasPrayerRite
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
-
C.
hasViewOnPrayerText
Indicates that an entity holds a particular stance, interpretation, or opinion regarding a specific prayer text.
-
D.
hasRulingInFiqh
chosen
Indicates that a subject has an associated legal ruling or judgment within the framework of Islamic jurisprudence (fiqh).
-
E.
containsPrayerType
Indicates that one entity includes or encompasses a specific type or category of prayer.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.