Triple
T25944276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المحكمة الدستورية العليا |
E653794
|
entity |
| Predicate | تؤثر أحكامها |
P152599
|
FINISHED |
| Object | على سريان القوانين واللوائح في مصر |
—
|
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: على سريان القوانين واللوائح في مصر | Statement: [المحكمة الدستورية العليا, تؤثر أحكامها, على سريان القوانين واللوائح في مصر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تؤثر أحكامها Context triple: [المحكمة الدستورية العليا, تؤثر أحكامها, على سريان القوانين واللوائح في مصر]
-
A.
courtInfluenceUnder
Indicates that one court operates under the legal authority, jurisdiction, or influence of another, higher court.
-
B.
courtInfluence
Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
-
C.
rulesInfluence
chosen
Indicates that one set of rules or regulations has an effect on, shapes, or constrains another entity, process, or outcome.
-
D.
influencedCourtDecision
Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
-
E.
ruleInfluence
Indicates that one rule affects, constrains, or modifies the behavior, outcome, or applicability of another rule.
- 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_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. |
Created at: April 22, 2026, 8:41 a.m.