Triple
T25843609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الأعراف |
E651002
|
entity |
| Predicate | مكية باستثناء |
P98293
|
FINISHED |
| Object | آيات قليلة عند بعض أهل العلم قيل إنها مدنية |
—
|
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: آيات قليلة عند بعض أهل العلم قيل إنها مدنية | Statement: [سورة الأعراف, مكية باستثناء, آيات قليلة عند بعض أهل العلم قيل إنها مدنية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكية باستثناء Context triple: [سورة الأعراف, مكية باستثناء, آيات قليلة عند بعض أهل العلم قيل إنها مدنية]
-
A.
من_بطون_قريش
Indicates that someone or something originates from, descends from, or belongs to the clans or lineages of Quraysh.
-
B.
roleInMecca
Indicates that an entity holds or performs a specific role, function, or position in the context of Mecca.
-
C.
المنصب_في_قريش
Indicates that a person holds or held a specific official or social position within the Quraysh tribe.
-
D.
isMakkiOrMadani
chosen
Indicates whether a given Quranic chapter or verse is classified as Makki (revealed in Mecca) or Madani (revealed in Medina).
-
E.
distinctionFromHajjAlQiran
Indicates that something is explicitly differentiated from or contrasted with the practice or category of Hajj al-Qiran.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6023662a48190b8eb77eebc225c36 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:51 a.m.