Triple
T14436708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الهمزة |
E357981
|
entity |
| Predicate | تبدأ بالآية |
P104675
|
FINISHED |
| Object | وَيْلٌ لِكُلِّ هُمَزَةٍ لُمَزَةٍ |
—
|
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: وَيْلٌ لِكُلِّ هُمَزَةٍ لُمَزَةٍ | Statement: [سورة الهمزة, تبدأ بالآية, وَيْلٌ لِكُلِّ هُمَزَةٍ لُمَزَةٍ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تبدأ بالآية Context triple: [سورة الهمزة, تبدأ بالآية, وَيْلٌ لِكُلِّ هُمَزَةٍ لُمَزَةٍ]
-
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.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
D.
openingVerseText
chosen
Indicates the specific text used as the opening verse of a work, performance, or section.
-
E.
beganRule
Indicates that an entity started its period of ruling or governance over another entity or domain.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9148cf4481909082cc91b2f76218 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.