Triple
T12764983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | سميت بهذا الاسم بسبب |
P7885
|
FINISHED |
| Object | ذكر المطففين في أولها |
—
|
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: ذكر المطففين في أولها | Statement: [سورة المطففين, سميت بهذا الاسم بسبب, ذكر المطففين في أولها]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سميت بهذا الاسم بسبب Context triple: [سورة المطففين, سميت بهذا الاسم بسبب, ذكر المطففين في أولها]
-
A.
usesNameDueTo
Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
-
B.
reasonForName
chosen
Indicates the explanation or cause behind why an entity has a particular name.
-
C.
isNamedFor
Indicates that one entity bears its name in honor of, or derived from, another entity.
-
D.
reasonForEpithet
Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an entity.
-
E.
isNamedForPersonFrom
Indicates that an entity is named after a person who originates from a specified place or region.
- 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_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. |
Created at: April 9, 2026, 5:28 p.m.