Triple
T17545407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 11 of the Constitution of Japan |
E427311
|
entity |
| Predicate | belongsToLegalDocumentType |
P65896
|
FINISHED |
| Object | written constitution |
—
|
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: written constitution | Statement: [Article 11 of the Constitution of Japan, belongsToLegalDocumentType, written constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToLegalDocumentType Context triple: [Article 11 of the Constitution of Japan, belongsToLegalDocumentType, written constitution]
-
A.
belongsToDocumentType
chosen
Indicates that one entity is classified under, or associated with, a specific document type.
-
B.
belongsToLegalFamily
Indicates that one entity is a member of, or is legally affiliated with, a particular legal family or legal system tradition.
-
C.
belongsToDocument
Indicates that something is a part of, associated with, or contained within a specific document.
-
D.
typeOfJurisdictionDocument
Indicates the specific kind or category of jurisdiction-related document associated with an entity or legal context.
-
E.
legalAuthorityType
Indicates the specific kind or category of legal authority that governs, authorizes, or regulates an entity or action.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454609bdc8190b81b362906e7e3fd |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.