Triple
T13582993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الطارق |
E324469
|
entity |
| Predicate | تفتتح_ب |
P15511
|
FINISHED |
| Object | قسم بالله تعالى |
—
|
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: قسم بالله تعالى | Statement: [سورة الطارق, تفتتح_ب, قسم بالله تعالى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح_ب Context triple: [سورة الطارق, تفتتح_ب, قسم بالله تعالى]
-
A.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
B.
openingWorkOf
chosen
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
-
C.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
-
D.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
E.
openingDynamic
Indicates that one entity initiates or begins another entity or process in a way that can change or vary over time or context.
- 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.