Triple
T24239192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 17:110 |
E603173
|
entity |
| Predicate | rukūʿNumberInSurah |
P155306
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Quran 17:110, rukūʿNumberInSurah, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rukūʿNumberInSurah Context triple: [Quran 17:110, rukūʿNumberInSurah, 13]
-
A.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
B.
quranSurahNumber
Indicates the numerical position or identifier assigned to a specific surah (chapter) within the Quran.
-
C.
numberOfSurahs
Indicates the total count of surahs associated with a given entity (such as a text, section, or collection).
-
D.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
E.
quranicSurahMention
Indicates that a specific Quranic surah is mentioned, referenced, or cited in relation to another entity or context.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28a9eb68c81908a8293c00e581b41 |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:03 a.m.