Triple
T12765017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | تنتمي إلى |
P27891
|
FINISHED |
| Object | السور ذات الموضوعات الأخلاقية والاجتماعية |
—
|
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: السور ذات الموضوعات الأخلاقية والاجتماعية | Statement: [سورة المطففين, تنتمي إلى, السور ذات الموضوعات الأخلاقية والاجتماعية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تنتمي إلى Context triple: [سورة المطففين, تنتمي إلى, السور ذات الموضوعات الأخلاقية والاجتماعية]
-
A.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
B.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
C.
to
Indicates a directional or goal-oriented relationship in which something is directed, transferred, or oriented toward a target or endpoint.
-
D.
membershipConsistsOf
Indicates that a membership is composed of, or includes, specific member entities as its constituents.
-
E.
membershipIncluded
Indicates that one entity’s membership or inclusion is contained within, or granted as part of, another entity’s membership.
- 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.