Triple
T24899250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | لوط |
E623528
|
entity |
| Predicate | يعد_في_المسيحية |
P157858
|
FINISHED |
| Object | شخصية_كتاب_مقدس |
—
|
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: شخصية_كتاب_مقدس | Statement: [لوط, يعد_في_المسيحية, شخصية_كتاب_مقدس]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يعد_في_المسيحية Context triple: [لوط, يعد_في_المسيحية, شخصية_كتاب_مقدس]
-
A.
isChristianChurch
Indicates that the subject is a church that follows or is affiliated with the Christian religion.
-
B.
isEstablishedChurchIn
Indicates that a church is officially recognized and established as the state or national church within a specified jurisdiction or territory.
-
C.
isStateChurch
Indicates that a church is officially recognized and established as the state’s or government’s official religion.
-
D.
consolidatedChristianityBy
Indicates that one entity unified, organized, or strengthened the structure, doctrine, or influence of Christianity through the actions or influence of another entity.
-
E.
mayBelongToDenomination
Indicates that an entity is possibly, but not certainly, affiliated with or a member of a particular denomination.
- 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_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 5:26 a.m.