Triple
T5665636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand law |
E124849
|
entity |
| Predicate | hasCriminalLawPrinciple |
P65628
|
FINISHED |
| Object | presumption of innocence |
—
|
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: presumption of innocence | Statement: [New Zealand law, hasCriminalLawPrinciple, presumption of innocence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCriminalLawPrinciple Context triple: [New Zealand law, hasCriminalLawPrinciple, presumption of innocence]
-
A.
haveCriminalLaw
Indicates that an entity possesses, applies, or is governed by a system or body of criminal law.
-
B.
hasCrimeElement
Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
-
C.
mainCriminalCode
Indicates that one legal code is the primary or governing criminal code applicable to a given jurisdiction, case, or legal context.
-
D.
consideredCriminalBy
Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
-
E.
isCriminalizedIn
Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0236af5308190b3d698eadf7bcd2b |
completed | March 22, 2026, 5:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.