Triple
T34045909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | judiciary of the Republic of the Congo |
E873085
|
entity |
| Predicate | handlesAreaOfLaw |
P2167
|
FINISHED |
| Object | criminal law in the Republic of the Congo |
—
|
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: criminal law in the Republic of the Congo | Statement: [judiciary of the Republic of the Congo, handlesAreaOfLaw, criminal law in the Republic of the Congo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesAreaOfLaw Context triple: [judiciary of the Republic of the Congo, handlesAreaOfLaw, criminal law in the Republic of the Congo]
-
A.
notableAreaOfLaw
Indicates that a person or entity is particularly recognized or distinguished in a specific field or area of law.
-
B.
legalArea
chosen
Indicates the specific field or branch of law that a legal matter, case, or document pertains to.
-
C.
branchOfLaw
Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
-
D.
appliesToFieldOfLaw
Indicates that something is relevant or applicable to a particular field or branch of law.
-
E.
juridicalCategory
Indicates the legal classification or status under which an entity or relationship is formally recognized in a juridical system.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:51 a.m.