Triple
T24001120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مصرف لبنان |
E594249
|
entity |
| Predicate | النوع_القانوني |
P76736
|
FINISHED |
| Object | شخص معنوي من القانون العام |
—
|
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: شخص معنوي من القانون العام | Statement: [مصرف لبنان, النوع_القانوني, شخص معنوي من القانون العام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: النوع_القانوني Context triple: [مصرف لبنان, النوع_القانوني, شخص معنوي من القانون العام]
-
A.
typeOfLaw
Indicates that one entity is a specific category or kind of law to which the other entity pertains.
-
B.
juridicalCategory
chosen
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
-
C.
subjectOfLaw
Indicates that a law, legal document, or legal provision is about, concerns, or applies to the referenced subject.
-
D.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
E.
containsLawType
Indicates that one entity includes or is associated with a specific type or category of law.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d464f1988190a0a9352c1ec214eb |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:39 p.m.