Triple
T26309339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة القتال |
E661776
|
entity |
| Predicate | hasNoBasmalaAtBeginning |
P104678
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [سورة القتال, hasNoBasmalaAtBeginning, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoBasmalaAtBeginning Context triple: [سورة القتال, hasNoBasmalaAtBeginning, true]
-
A.
containsBasmalah
Indicates that something (such as a text, document, or verse) includes the Basmalah phrase ("In the name of God, the Most Gracious, the Most Merciful") within it.
-
B.
omittedAtStartOfSurah
chosen
Indicates that something (such as a phrase, verse, or formula) is left out or not present at the beginning of a surah.
-
C.
beginsAtAyah
Indicates that something (such as a section, topic, or annotation) starts at a specific Quranic verse (ayah).
-
D.
beginsWithInQuran
Indicates that one textual element starts with another specific sequence of characters as it appears at the beginning of a verse or passage in the Quran.
-
E.
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.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: April 26, 2026, 10:21 p.m.