Triple
T14436731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الهمزة |
E357981
|
entity |
| Predicate | ترتيب النزول |
P37518
|
FINISHED |
| Object | من السور المتقدمة في النزول عند كثير من أهل العلم |
—
|
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: من السور المتقدمة في النزول عند كثير من أهل العلم | Statement: [سورة الهمزة, ترتيب النزول, من السور المتقدمة في النزول عند كثير من أهل العلم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتيب النزول Context triple: [سورة الهمزة, ترتيب النزول, من السور المتقدمة في النزول عند كثير من أهل العلم]
-
A.
orderedToward
Indicates that one entity is arranged, directed, or positioned in the direction of another entity or reference point.
-
B.
lowerRankedOrder
Indicates that one entity holds a lower rank or priority in an ordered sequence relative to another entity.
-
C.
orderOf
chosen
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
movementOrderedBy
Indicates that one entity’s movement occurs according to, or is arranged/controlled by, another entity’s ordering or directive.
-
E.
distributionOrder
Indicates the sequence or arrangement in which items or resources are distributed among recipients or locations.
- 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.