Triple
T24720383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الراغب الأصفهاني |
E612276
|
entity |
| Predicate | منهج_في_مفردات_ألفاظ_القرآن |
P157036
|
FINISHED |
| Object | جمع ألفاظ القرآن وشرحها لغوياً وشرعياً |
—
|
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: جمع ألفاظ القرآن وشرحها لغوياً وشرعياً | Statement: [الراغب الأصفهاني, منهج_في_مفردات_ألفاظ_القرآن, جمع ألفاظ القرآن وشرحها لغوياً وشرعياً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: منهج_في_مفردات_ألفاظ_القرآن Context triple: [الراغب الأصفهاني, منهج_في_مفردات_ألفاظ_القرآن, جمع ألفاظ القرآن وشرحها لغوياً وشرعياً]
-
A.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
B.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
C.
quranicPhrase
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
-
D.
hasQuranicEquivalent
Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
-
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. 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:40 a.m.