Triple
T25944257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المحكمة الدستورية العليا |
E653794
|
entity |
| Predicate | سلطة |
P159588
|
FINISHED |
| Object | إلغاء النصوص التشريعية المخالفة للدستور |
—
|
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: إلغاء النصوص التشريعية المخالفة للدستور | Statement: [المحكمة الدستورية العليا, سلطة, إلغاء النصوص التشريعية المخالفة للدستور]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سلطة Context triple: [المحكمة الدستورية العليا, سلطة, إلغاء النصوص التشريعية المخالفة للدستور]
-
A.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
B.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
C.
isTypicallyEatenWith
Indicates that one item is commonly consumed together with another as part of the same eating occasion or dish.
-
D.
feastOf
Indicates that one entity is the religious or ceremonial feast day associated with another entity (such as a person, event, or deity).
-
E.
キャンパスタイプ
Indicates the type or category of campus associated with an entity (e.g., main campus, satellite campus, online campus).
- F. None of above. chosen
Provenance (4 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60462fad88190be275c21dabc791c |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:41 a.m.