Triple
T6718396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maghrib |
E153331
|
entity |
| Predicate | positionInFiveDailyPrayers |
P72855
|
FINISHED |
| Object | fourth |
—
|
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: fourth | Statement: [Maghrib, positionInFiveDailyPrayers, fourth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInFiveDailyPrayers Context triple: [Maghrib, positionInFiveDailyPrayers, fourth]
-
A.
prayerTiming
Indicates the scheduled or appropriate time at which a prayer or act of worship is to be performed.
-
B.
numberOfRakats
Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
-
C.
praysAt
Indicates that one entity performs an act of prayer at, or directed toward, a specific place or site.
-
D.
positionInIslamicCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Islamic (Hijri) calendar.
-
E.
positionInKutubAlSittah
Indicates the specific placement or ordering of a text or hadith within the canonical six-book collection of Sunni hadith, known as Kutub al-Sittah.
- F. None of above. chosen
Provenance (4 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d135d27c819088c45839ad0e7bab |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d11fab808190b18160ff3829fcc6 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:07 p.m.