Triple
T25456539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شيبة الحمد |
E637928
|
entity |
| Predicate | الموقف من أبرهة |
P158543
|
FINISHED |
| Object | رفض تسليم الكعبة ودعا الله لحمايتها |
—
|
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: رفض تسليم الكعبة ودعا الله لحمايتها | Statement: [شيبة الحمد, الموقف من أبرهة, رفض تسليم الكعبة ودعا الله لحمايتها]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الموقف من أبرهة Context triple: [شيبة الحمد, الموقف من أبرهة, رفض تسليم الكعبة ودعا الله لحمايتها]
-
A.
الموقف_الديني
chosen
Indicates a religious stance or position that an entity holds toward a belief, practice, or issue.
-
B.
تذكر عقوبة زوجة أبي لهب
Indicates that an entity recalls or mentions the punishment of the wife of Abu Lahab.
-
C.
تذكر كنية امرأة أبي لهب
Indicates mentioning or recalling the kunya (honorific nickname) of Abu Lahab’s wife.
-
D.
أب
Indicates that one entity is the father (male parent) of another entity.
-
E.
ابتلي_ب
Indicates that an entity is afflicted, tested, or burdened with something (such as a hardship, illness, or trial).
- 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.