Triple
T10420600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As-Sabiqun (The Foremost) |
E245636
|
entity |
| Predicate | hasQuranicVerseReference |
P93494
|
FINISHED |
| Object | Qur'an 56:10 |
—
|
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: Qur'an 56:10 | Statement: [As-Sabiqun (The Foremost), hasQuranicVerseReference, Qur'an 56:10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuranicVerseReference Context triple: [As-Sabiqun (The Foremost), hasQuranicVerseReference, Qur'an 56:10]
-
A.
hasVersesIn
Indicates that one entity (typically a text, chapter, or section) contains or is composed of verses found within another entity (such as a book, collection, or scripture).
-
B.
hasVersesBy
Indicates a relationship where a work, such as a song or poem, contains verses authored or written by a specific creator.
-
C.
hasQuranicDescription
Indicates that there exists a description or characterization of the subject that is explicitly given or referenced in the Quran.
-
D.
hasHadithReference
Indicates that there exists a reference or citation linking something to a specific hadith source or passage.
-
E.
quranicSurahMention
Indicates that a specific Quranic surah is mentioned, referenced, or cited in relation to another entity or context.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2bee2081908e5e65df9100d463 |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:11 p.m.