Triple
T13583010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الطارق |
E324469
|
entity |
| Predicate | تبدأ_بآية |
P84400
|
FINISHED |
| Object | وَالسَّمَاءِ وَالطَّارِقِ |
—
|
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: وَالسَّمَاءِ وَالطَّارِقِ | Statement: [سورة الطارق, تبدأ_بآية, وَالسَّمَاءِ وَالطَّارِقِ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تبدأ_بآية Context triple: [سورة الطارق, تبدأ_بآية, وَالسَّمَاءِ وَالطَّارِقِ]
-
A.
أول آية
chosen
Indicates that something is the first verse of a text, typically within a chapter or surah.
-
B.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
C.
omittedAtStartOfSurah
Indicates that something (such as a phrase, verse, or formula) is left out or not present at the beginning of a surah.
-
D.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
-
E.
openingVerseTransliteration
Indicates the transliterated form of the opening verse of a text, showing how it is pronounced using a target script or phonetic system.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.