Triple
T30397242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الزمر |
E773250
|
entity |
| Predicate | مكية باستثناء آيات مختلف فيها |
P29787
|
FINISHED |
| Object | نعم |
—
|
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: نعم | Statement: [سورة الزمر, مكية باستثناء آيات مختلف فيها, نعم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكية باستثناء آيات مختلف فيها Context triple: [سورة الزمر, مكية باستثناء آيات مختلف فيها, نعم]
-
A.
containsMakkiVerses
chosen
Indicates that something (typically a chapter or section of a text) includes one or more verses that are classified as Makki (revealed in Mecca).
-
B.
distinctionFromHajjAlQiran
Indicates that something is explicitly differentiated from or contrasted with the practice or category of Hajj al-Qiran.
-
C.
isMakkiOrMadani
Indicates whether a given Quranic chapter or verse is classified as Makki (revealed in Mecca) or Madani (revealed in Medina).
-
D.
isMadinanSurah
Indicates that a surah is classified as having been revealed in Madinah (i.e., it is a Madinan surah).
-
E.
containsMuqattaat
Indicates that the referenced text or verse includes muqattaat, the disjointed or abbreviated Arabic letters that appear at the beginnings of some Quranic chapters.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f685aef340819081190a2397b94251 |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:03 p.m.