Triple
T34905897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الحاقة |
E1006724
|
entity |
| Predicate | افتتاح السورة |
P181848
|
FINISHED |
| Object | الحاقة |
—
|
NE NERFINISHED |
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: الحاقة | Statement: [سورة الحاقة, افتتاح السورة, الحاقة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: افتتاح السورة Context triple: [سورة الحاقة, افتتاح السورة, الحاقة]
-
A.
أول آية
Indicates that something is the first verse of a text, typically within a chapter or surah.
-
B.
omittedAtStartOfSurah
Indicates that something (such as a phrase, verse, or formula) is left out or not present at the beginning of a surah.
-
C.
surahApproximateOrderOfRevelation
Indicates the approximate chronological order in which a given surah was revealed relative to other surahs.
-
D.
commandInSurah
Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
-
E.
subjectOfSurah
Indicates that an entity is the main topic, theme, or focus discussed within a specific surah (chapter) of the Quran.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.