Triple
T6517890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salah in Islam |
E148309
|
entity |
| Predicate | minimumCongregationSizeForJumuah |
P9344
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Salah in Islam, minimumCongregationSizeForJumuah, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumCongregationSizeForJumuah Context triple: [Salah in Islam, minimumCongregationSizeForJumuah, 2]
-
A.
numberOfRakats
Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
-
B.
numberOfImams
Indicates the count of distinct imams associated with or relevant to a given entity or context.
-
C.
prayerHallCapacity
Indicates the maximum number of people that the prayer hall is designed or allowed to accommodate at one time.
-
D.
optionalRakatsType
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.
-
E.
minimumNumberOfMembers
chosen
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
- 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.