Triple
T10891968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qaf |
E257198
|
entity |
| Predicate | muqattaatText |
P96262
|
FINISHED |
| Object | ق |
—
|
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: ق | Statement: [Qaf, muqattaatText, ق]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muqattaatText Context triple: [Qaf, muqattaatText, ق]
-
A.
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.
-
B.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
C.
verseTextArabic
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
-
D.
inAlMuwatta
Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
-
E.
foundInMushaf
Indicates that something (such as a verse, phrase, or reading) is present and recorded in the written text of the Mushaf (the compiled Qur’anic codex).
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.