Triple
T13583000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الطارق |
E324469
|
entity |
| Predicate | تتناول |
P33880
|
FINISHED |
| Object | خلق الإنسان من ماء دافق |
—
|
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: خلق الإنسان من ماء دافق | Statement: [سورة الطارق, تتناول, خلق الإنسان من ماء دافق]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتناول Context triple: [سورة الطارق, تتناول, خلق الإنسان من ماء دافق]
-
A.
يتناول
Indicates that an entity is consuming or taking something, such as food, drink, or medicine.
-
B.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
C.
containsDiscussionOf
chosen
Indicates that one entity includes or features a discussion, treatment, or consideration of another entity as a topic or subject.
-
D.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
E.
targetConcern
Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
- 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.