Triple
T25456486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد المطلب بن هاشم بن عبد مناف |
E637927
|
entity |
| Predicate | البنت |
P158540
|
FINISHED |
| Object | أروى بنت عبد المطلب |
—
|
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: أروى بنت عبد المطلب | Statement: [عبد المطلب بن هاشم بن عبد مناف, البنت, أروى بنت عبد المطلب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: البنت Context triple: [عبد المطلب بن هاشم بن عبد مناف, البنت, أروى بنت عبد المطلب]
-
A.
البنت
chosen
Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
-
B.
البنات
Indicates a relationship or action involving girls as the primary participants or subjects.
-
C.
الجيل
Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
-
D.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
-
E.
الأم
Indicates a maternal relationship where one entity is the mother of 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_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, 2:09 p.m.