Triple
T36001719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | العرش |
E1041149
|
entity |
| Predicate | مذكور_مع |
P63729
|
FINISHED |
| Object | الكرسي في القرآن |
—
|
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: الكرسي في القرآن | Statement: [العرش, مذكور_مع, الكرسي في القرآن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مذكور_مع Context triple: [العرش, مذكور_مع, الكرسي في القرآن]
-
A.
ذُكر_في
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
B.
mentionedWith
chosen
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
C.
describedInHadithAs
Indicates that something is mentioned, characterized, or narrated within a hadith text.
-
D.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
E.
מזוהה עם
Indicates that one entity is identified with, or recognized as being the same as or equivalent to, another entity.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.