Triple
T36427497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 49:1 |
E897342
|
entity |
| Predicate | transliteration |
P2508
|
FINISHED |
| Object | Yā ayyuhā alladhīna āmanū lā tuqaddimū bayna yaday Allāhi wa-rasūlihi wa-ttaqū Allāh, inna Allāha samīʿun ʿalīm |
—
|
LITERAL FINISHED |
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.
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: Yā ayyuhā alladhīna āmanū lā tuqaddimū bayna yaday Allāhi wa-rasūlihi wa-ttaqū Allāh, inna Allāha samīʿun ʿalīm | Statement: [Quran 49:1, transliteration, Yā ayyuhā alladhīna āmanū lā tuqaddimū bayna yaday Allāhi wa-rasūlihi wa-ttaqū Allāh, inna Allāha samīʿun ʿalīm]
Provenance (2 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bd4e702081908791a88ef71f56cd |
completed | May 3, 2026, 9:25 p.m. |
Created at: May 3, 2026, 4:10 p.m.