Triple
T37349539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As-Saff |
E927283
|
entity |
| Predicate | openingVerseMeaning |
P47931
|
FINISHED |
| Object | All that is in the heavens and all that is on the earth glorifies Allah |
—
|
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: All that is in the heavens and all that is on the earth glorifies Allah | Statement: [As-Saff, openingVerseMeaning, All that is in the heavens and all that is on the earth glorifies Allah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingVerseMeaning Context triple: [As-Saff, openingVerseMeaning, All that is in the heavens and all that is on the earth glorifies Allah]
-
A.
openingVerseTranslation
Indicates the specific translated rendering of the opening verse of a text or work.
-
B.
openingVerseText
Indicates the specific text used as the opening verse of a work, performance, or section.
-
C.
hasOpeningVerseMeaning
chosen
Indicates that something (such as a text, song, or poem) possesses an opening verse that conveys a particular meaning or message.
-
D.
openingVerseType
Indicates the specific kind or category of an opening verse used at the beginning of a text, performance, or composition.
-
E.
openingVerses
Indicates that one text or section contains the initial or introductory verses of another text or composition.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:16 p.m.