Triple
T2777094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Nazi'at |
E61597
|
entity |
| Predicate | recitationType |
P9184
|
FINISHED |
| Object | Used in daily prayers by some Muslims |
—
|
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: Used in daily prayers by some Muslims | Statement: [Surah An-Nazi'at, recitationType, Used in daily prayers by some Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationType Context triple: [Surah An-Nazi'at, recitationType, Used in daily prayers by some Muslims]
-
A.
recitationRecommended
Indicates that a particular recitation session or section is recommended for an entity, such as a student or course.
-
B.
recitationRecommendedAfter
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
-
C.
recitationTradition
chosen
Indicates a relationship where a text, work, or content is transmitted or performed according to a particular established style, method, or lineage of recitation.
-
D.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
E.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.