Triple
T10553136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 54:1 |
E249004
|
entity |
| Predicate | recitationScience |
P94646
|
FINISHED |
| Object | has multiple canonical qira’at readings |
—
|
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: has multiple canonical qira’at readings | Statement: [Quran 54:1, recitationScience, has multiple canonical qira’at readings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationScience Context triple: [Quran 54:1, recitationScience, has multiple canonical qira’at readings]
-
A.
recitationSetting
Indicates the context or environment in which a recitation takes place, such as the type, location, or format of the recitation event.
-
B.
recitationCustom
Indicates that one entity performs or delivers a recitation in a customized or non-standard manner for another entity or context.
-
C.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
-
D.
recitationForm
Indicates the specific manner, style, or format in which something is recited or orally presented.
-
E.
recitationRecommendedAfter
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52710869c81909b6db1a190825bad |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:34 p.m.