Triple
T36444223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 49:2 |
E897822
|
entity |
| Predicate | numberOfWordsArabic |
—
|
GENERATED |
| Object | approximately 18 words (depending on orthography) |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWordsArabic Context triple: [Quran 49:2, numberOfWordsArabic, approximately 18 words (depending on orthography)]
-
A.
lengthInArabicWordsApprox
chosen
Indicates that the approximate length of something is expressed in Arabic words.
-
B.
verseTextArabic
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
-
C.
hasOpeningWordsArabic
Indicates that an entity (such as a text, document, or work) has specific opening words expressed in the Arabic language.
-
D.
correspondsToInArabic
Indicates that one entity is the equivalent or matching counterpart of another entity specifically in the Arabic language.
-
E.
hasArabComponent
Indicates that something includes or contains an Arab-related part, element, or component as one of its constituents.
- F. None of above.
Provenance (1 batch)
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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.