Triple
T14436742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الهمزة |
E357981
|
entity |
| Predicate | مرتبطة بموضوع |
P107052
|
FINISHED |
| Object | آداب اللسان في الإسلام |
—
|
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: آداب اللسان في الإسلام | Statement: [سورة الهمزة, مرتبطة بموضوع, آداب اللسان في الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مرتبطة بموضوع Context triple: [سورة الهمزة, مرتبطة بموضوع, آداب اللسان في الإسلام]
-
A.
associatedWithSubject
chosen
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
関連主題
Indicates that there exists a thematically or contextually related subject connected to the given entity.
-
D.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
E.
relatedToProject
Indicates that an entity has a connection or association with a specific project, without specifying the exact nature of that involvement.
- 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.