Triple
T10386316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At-Tur |
E244770
|
entity |
| Predicate | verseOpeningFormula |
P27382
|
FINISHED |
| Object | بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ |
—
|
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: بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ | Statement: [At-Tur, verseOpeningFormula, بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verseOpeningFormula Context triple: [At-Tur, verseOpeningFormula, بِسْمِ اللَّهِ الرَّحْمَٰنِ الرَّحِيمِ]
-
A.
openingVerseTheme
Indicates the primary idea or motif expressed in the opening verse of a text, song, or poem.
-
B.
openingMotif
Indicates that one element serves as the initial recurring theme or pattern that introduces and sets the tone for another element, such as a work or sequence.
-
C.
openingVerseType
chosen
Indicates the specific kind or category of an opening verse used at the beginning of a text, performance, or composition.
-
D.
recitesFormula
Indicates that one entity verbally or mentally repeats a specific formula, such as a set phrase, equation, or ritual wording, typically from memory.
-
E.
originalOpeningSection
Indicates that one section is the initial or first opening section of another work, document, or structured content.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a42e748190b10fa7b4ca006bad |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:05 p.m.