Triple
T33091384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niue High Court |
E846790
|
entity |
| Predicate | canApplyLawOf |
P90195
|
FINISHED |
| Object | New Zealand |
—
|
NE NERFINISHED |
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: New Zealand | Statement: [Niue High Court, canApplyLawOf, New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canApplyLawOf Context triple: [Niue High Court, canApplyLawOf, New Zealand]
-
A.
appliesLawThrough
Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
-
B.
linearLawAppliesTo
Indicates that a specific linear law or linear relationship is applicable to, or governs, the referenced entity or situation.
-
C.
usesLawTo
Indicates that one entity applies or relies on a specific law as a means or tool to affect, regulate, or influence another entity or situation.
-
D.
legalCodeAppliesTo
chosen
Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
-
E.
appliesToFieldOfLaw
Indicates that something is relevant or applicable to a particular field or branch 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.