Triple
T26062188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of the Book |
E657288
|
entity |
| Predicate | statusOfReferencedSurah |
P16948
|
FINISHED |
| Object | opening of the written Qur’anic text |
—
|
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: opening of the written Qur’anic text | Statement: [Mother of the Book, statusOfReferencedSurah, opening of the written Qur’anic text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfReferencedSurah Context triple: [Mother of the Book, statusOfReferencedSurah, opening of the written Qur’anic text]
-
A.
quranicStatus
Indicates the status or classification of something in relation to its recognition, treatment, or role within the Quran.
-
B.
statusInHadith
Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
-
C.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
D.
isMeccanSurah
Indicates that a given surah (chapter of the Qur’an) was revealed in Mecca (i.e., is classified as a Meccan surah) rather than in Medina.
-
E.
quranicSurahMention
chosen
Indicates that a specific Quranic surah is mentioned, referenced, or cited in relation to another entity or context.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 26, 2026, 7:18 p.m.