Triple
T25456696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مكة المكرمة |
E637931
|
entity |
| Predicate | مذكورة باسم |
P26173
|
FINISHED |
| Object | بكة في القرآن الكريم |
—
|
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: بكة في القرآن الكريم | Statement: [مكة المكرمة, مذكورة باسم, بكة في القرآن الكريم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مذكورة باسم Context triple: [مكة المكرمة, مذكورة باسم, بكة في القرآن الكريم]
-
A.
mentionedAs
chosen
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
B.
introducedAsNameIn
Indicates that an entity is presented or referred to by a particular name within a specified context or source.
-
C.
namedIn
Indicates that one entity is explicitly mentioned or referenced by name within another entity (such as a document, statement, or record).
-
D.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
E.
ذُكر_في
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:10 p.m.