Triple
T17666182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 17 of the Constitution of Japan |
E440387
|
entity |
| Predicate | enforceableThrough |
P100294
|
FINISHED |
| Object | Japanese courts |
—
|
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: Japanese courts | Statement: [Article 17 of the Constitution of Japan, enforceableThrough, Japanese courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enforceableThrough Context triple: [Article 17 of the Constitution of Japan, enforceableThrough, Japanese courts]
-
A.
enforcedOn
Indicates that a rule, policy, or constraint is applied with authority to a particular target or subject.
-
B.
appliesLawThrough
chosen
Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
-
C.
hasLegalForceAs
Indicates that one thing possesses the binding legal effect or validity in the capacity or role of another specified thing.
-
D.
hasLegalForceIn
Indicates that something (such as a law, regulation, or agreement) is legally valid, binding, and enforceable within a specified jurisdiction or context.
-
E.
enforcementStrength
Indicates the degree or intensity with which rules, laws, or policies are applied and enforced in a given context.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea9d91c81908414ef38c7fb36a4 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:57 a.m.