Triple
T24899245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | لوط |
E623528
|
entity |
| Predicate | أمره_الله |
P157459
|
FINISHED |
| Object | بعدم_الالتفات_خلفه |
—
|
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: بعدم_الالتفات_خلفه | Statement: [لوط, أمره_الله, بعدم_الالتفات_خلفه]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أمره_الله Context triple: [لوط, أمره_الله, بعدم_الالتفات_خلفه]
-
A.
أمره_الله
chosen
Indicates that God has commanded or ordered someone to perform a specific action or follow a particular directive.
-
B.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
-
C.
المالك
Indicates a relationship where one entity is the owner or possessor of another entity.
-
D.
نجاه_الله_من
Indicates that God saved or delivered someone or something from a particular harm, danger, or situation.
-
E.
عدد السجدات
Indicates the number of prostrations performed in a given prayer or worship 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:26 a.m.