Triple
T21949731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judge Aristide Forestier |
E542031
|
entity |
| Predicate | legalConcern |
P71081
|
FINISHED |
| Object | public morality |
—
|
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: public morality | Statement: [Judge Aristide Forestier, legalConcern, public morality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalConcern Context triple: [Judge Aristide Forestier, legalConcern, public morality]
-
A.
legalMatters
chosen
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
-
B.
legalConstraint
Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
-
C.
mainLegalIssue
Indicates the primary legal question or dispute that is central to a case or legal matter.
-
D.
legalDevelopment
Indicates the occurrence or progression of a change, action, or event within a legal context, such as new laws, rulings, or regulatory updates affecting legal status or practice.
-
E.
legalQuestion
Indicates that one entity poses or represents a question concerning legal rights, obligations, or interpretations to another entity or within a legal 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:58 p.m.