Triple
T25456497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد المطلب بن هاشم بن عبد مناف |
E637927
|
entity |
| Predicate | المكان_المرتبط |
P3158
|
FINISHED |
| Object | الكعبة المشرفة |
—
|
NE NERFINISHED |
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: الكعبة المشرفة | Statement: [عبد المطلب بن هاشم بن عبد مناف, المكان_المرتبط, الكعبة المشرفة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المكان_المرتبط Context triple: [عبد المطلب بن هاشم بن عبد مناف, المكان_المرتبط, الكعبة المشرفة]
-
A.
relatedPlace
chosen
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
-
B.
fictionalLocationAssociatedWith
Indicates a relationship where a fictional entity (such as a character, event, or work) is connected to or set in a particular fictional location.
-
C.
relatedMythicalPlace
Indicates that one entity has an association or connection with a mythical or legendary place in relation to the other entity.
-
D.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
E.
cultLocation
Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
- 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_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:09 p.m.