Triple
T14106351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TF1 Publicité |
E339513
|
entity |
| Predicate | compliesWithRegulation |
P34837
|
FINISHED |
| Object | French audiovisual advertising regulations |
—
|
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: French audiovisual advertising regulations | Statement: [TF1 Publicité, compliesWithRegulation, French audiovisual advertising regulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compliesWithRegulation Context triple: [TF1 Publicité, compliesWithRegulation, French audiovisual advertising regulations]
-
A.
regulatesComplianceWith
Indicates that one entity oversees, enforces, or sets rules to ensure another entity adheres to specified standards, laws, or requirements.
-
B.
subjectToRegulation
chosen
Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
-
C.
hasRegulations
Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another entity.
-
D.
appliesRegulatoryStandard
Indicates that one entity enforces or uses a specific regulatory standard in relation to another entity or context.
-
E.
supportsRegulation
Indicates that one entity endorses, backs, or advocates for the implementation or continuation of a specific regulation.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.