Triple
T25456636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بنو هاشم |
E637930
|
entity |
| Predicate | عُرفوا_بـ |
P29994
|
FINISHED |
| Object | القيادة الدينية بعد الإسلام |
—
|
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: القيادة الدينية بعد الإسلام | Statement: [بنو هاشم, عُرفوا_بـ, القيادة الدينية بعد الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عُرفوا_بـ Context triple: [بنو هاشم, عُرفوا_بـ, القيادة الدينية بعد الإسلام]
-
A.
knownInIslamAs
chosen
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
B.
اشتهر_بقصة
Indicates that someone or something became well-known or famous specifically because of a particular story.
-
C.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
D.
followersKnownAs
Indicates that the followers of an entity are referred to by a particular name or label.
-
E.
knewAs
Indicates that one entity was acquainted with or recognized another entity under a particular identity, name, or role.
- 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.