Triple
T13983975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash-Shams |
E336384
|
entity |
| Predicate | quranicChapterType |
P112042
|
FINISHED |
| Object | short Meccan surah |
—
|
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: short Meccan surah | Statement: [Ash-Shams, quranicChapterType, short Meccan surah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quranicChapterType Context triple: [Ash-Shams, quranicChapterType, short Meccan surah]
-
A.
quranSection
Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
-
B.
quranicSurah
Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
-
C.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
D.
includeSurah
Indicates that one entity (such as a collection, book, or document) contains or incorporates a specific Surah as part of its contents.
-
E.
scripturalChapters
Indicates that one entity is composed of, contains, or is divided into the specified scriptural 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.