Triple
T1441818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Ar-Ra'd |
E31090
|
entity |
| Predicate | containsProstrationVerse |
P28648
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Surah Ar-Ra'd, containsProstrationVerse, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsProstrationVerse Context triple: [Surah Ar-Ra'd, containsProstrationVerse, no]
-
A.
sajdahVerseNumber
Indicates the verse number in a chapter at which a prostration (sajdah) is prescribed or occurs.
-
B.
quranicVerse
Indicates that a given text segment is a verse from the Quran and encodes the relationship between that verse and its source scripture.
-
C.
isAddressedInPrayer
Indicates that an entity is the recipient or target of a prayer being spoken or offered.
-
D.
quranicStatus
Indicates the status or classification of something in relation to its recognition, treatment, or role within the Quran.
-
E.
containsVerse
Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.