Triple
T24720384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الراغب الأصفهاني |
E612276
|
entity |
| Predicate | منهج_في_مفردات_ألفاظ_القرآن |
P157036
|
FINISHED |
| Object | التمييز بين المعاني الحقيقية والمجازية للألفاظ |
—
|
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: التمييز بين المعاني الحقيقية والمجازية للألفاظ | Statement: [الراغب الأصفهاني, منهج_في_مفردات_ألفاظ_القرآن, التمييز بين المعاني الحقيقية والمجازية للألفاظ]
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, التمييز بين المعاني الحقيقية والمجازية للألفاظ]
-
A.
منهج_في_مفردات_ألفاظ_القرآن
chosen
Indicates a methodological relationship focused on analyzing and explaining the vocabulary and individual words of the Qur’an.
-
B.
موضوع_كتاب_مفردات_ألفاظ_القرآن
Indicates that something is the subject or thematic focus of the book "Mufradāt Alfāẓ al-Qurʾān" (a work explaining the vocabulary/terms of the Qur’an).
-
C.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
D.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
E.
quranicPhrase
Indicates that one entity is a phrase or expression that appears in, or is directly derived from, the Quran.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:40 a.m.