Triple
T24899231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | لوط |
E623528
|
entity |
| Predicate | سبب_عذاب_قومه |
P157457
|
FINISHED |
| Object | ممارسات_منحرفة_جنسية |
—
|
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: ممارسات_منحرفة_جنسية | Statement: [لوط, سبب_عذاب_قومه, ممارسات_منحرفة_جنسية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سبب_عذاب_قومه Context triple: [لوط, سبب_عذاب_قومه, ممارسات_منحرفة_جنسية]
-
A.
تذكر وصف العذاب
Indicates mentioning or recalling a description of the torment or punishment.
-
B.
تذكر عقوبة زوجة أبي لهب
Indicates that an entity recalls or mentions the punishment of the wife of Abu Lahab.
-
C.
punishmentDescribedInQur'an
Indicates that a specified punishment is explicitly described or prescribed within the text of the Qur'an.
-
D.
punishedInAfterlife
Indicates that an entity is subjected to punishment or negative consequences in an afterlife or post-mortem realm.
-
E.
عدد السجدات
Indicates the number of prostrations performed in a given prayer or worship context.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:26 a.m.