Triple
T12765019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | تُفتتح بدون |
P106787
|
FINISHED |
| Object | بسملة مستقلة في وسط المصحف لأنها تسبقها بسملة في أول السورة |
—
|
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: بسملة مستقلة في وسط المصحف لأنها تسبقها بسملة في أول السورة | Statement: [سورة المطففين, تُفتتح بدون, بسملة مستقلة في وسط المصحف لأنها تسبقها بسملة في أول السورة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُفتتح بدون Context triple: [سورة المطففين, تُفتتح بدون, بسملة مستقلة في وسط المصحف لأنها تسبقها بسملة في أول السورة]
-
A.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
B.
openingDynamic
Indicates that one entity initiates or begins another entity or process in a way that can change or vary over time or context.
-
C.
openingStyle
Indicates how something is initially presented, introduced, or begun in terms of manner, format, or approach.
-
D.
openingBegan
Indicates that the process of opening something has started.
-
E.
openingStage
Indicates the initial phase or first part of a process, event, or sequence in which subsequent stages will follow.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.