Triple
T24294888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asr |
E605929
|
entity |
| Predicate | associatedSurahRecitation |
P91803
|
FINISHED |
| Object | various short surahs after al-Fatiha |
—
|
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: various short surahs after al-Fatiha | Statement: [Asr, associatedSurahRecitation, various short surahs after al-Fatiha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSurahRecitation Context triple: [Asr, associatedSurahRecitation, various short surahs after al-Fatiha]
-
A.
qiraatTransmittedBy
Indicates that a particular Qur’anic recitation (qirāʾah) is transmitted or narrated through a specific transmitter or chain of transmitters.
-
B.
followsSurah
Indicates that one surah directly comes after or is ordered immediately following another surah in a specified sequence.
-
C.
hasQuranicEquivalent
Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
-
D.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
E.
includeSurah
chosen
Indicates that one entity (such as a collection, book, or document) contains or incorporates a specific Surah as part of its contents.
- 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.