Triple
T32806046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEGI |
E839021
|
entity |
| Predicate | typeOfContentAssessed |
P202379
|
FINISHED |
| Object | violence |
—
|
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: violence | Statement: [PEGI, typeOfContentAssessed, violence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfContentAssessed Context triple: [PEGI, typeOfContentAssessed, violence]
-
A.
typeOfAssessmentInfluenced
Indicates that one entity has an effect on or shapes the kind of assessment applied to another entity.
-
B.
typeOfAssessmentAlignment
Indicates that an assessment is aligned with, or corresponds to, a particular standard, objective, or framework.
-
C.
governsAssessmentType
Indicates that one entity determines, regulates, or controls the type or method of assessment applied to another entity.
-
D.
assessmentBasis
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
-
E.
knowledgeLevelAssessed
Indicates that an entity’s level of knowledge or understanding has been evaluated or measured, typically against some criteria or standard.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
| PDg | Predicate description generation | batch_6a00781ac0f48190a77e2c326a4d6693 |
completed | May 10, 2026, 12:20 p.m. |
Created at: May 1, 2026, 1:15 a.m.