Triple
T26062187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of the Book |
E657288
|
entity |
| Predicate | liturgicalRoleOfReferencedSurah |
P11534
|
FINISHED |
| Object | recited in each rak‘ah of Salah |
—
|
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: recited in each rak‘ah of Salah | Statement: [Mother of the Book, liturgicalRoleOfReferencedSurah, recited in each rak‘ah of Salah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liturgicalRoleOfReferencedSurah Context triple: [Mother of the Book, liturgicalRoleOfReferencedSurah, recited in each rak‘ah of Salah]
-
A.
subjectOfSurah
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
-
B.
liturgicalRole
chosen
Indicates the specific function or position an entity holds within a religious or liturgical context.
-
C.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
D.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
E.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606941410819098a15b288273c3e1 |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:18 p.m.