Triple
T25456626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بنو هاشم |
E637930
|
entity |
| Predicate | ارتبطوا_بـ |
P125958
|
FINISHED |
| Object | الرفادة في الجاهلية |
—
|
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: الرفادة في الجاهلية | Statement: [بنو هاشم, ارتبطوا_بـ, الرفادة في الجاهلية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ارتبطوا_بـ Context triple: [بنو هاشم, ارتبطوا_بـ, الرفادة في الجاهلية]
-
A.
مرتبطب
chosen
Indicates a relationship of being connected, associated, or related to something or someone.
-
B.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
C.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
-
D.
associatedBeings
Indicates that two or more beings are linked or connected to each other in some relevant way.
-
E.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
- 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, 2:10 p.m.