Triple
T13537279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EU directives |
E323292
|
entity |
| Predicate | nonComplianceCanLeadTo |
P7914
|
FINISHED |
| Object | infringement proceedings |
—
|
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: infringement proceedings | Statement: [EU directives, nonComplianceCanLeadTo, infringement proceedings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonComplianceCanLeadTo Context triple: [EU directives, nonComplianceCanLeadTo, infringement proceedings]
-
A.
riskIfNoncompliance
chosen
Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
-
B.
legalStatusOfNoncompliance
Indicates the legal characterization or consequences assigned to an instance of noncompliance with a rule, law, or obligation.
-
C.
accusationsOfNonComplianceBy
Indicates that one party has formally alleged that another party has failed to meet required rules, standards, or obligations.
-
D.
violationConsequences
Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
-
E.
nonCooperationMayLeadTo
Indicates that a lack of cooperation in a situation can potentially result in certain negative or consequential outcomes.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.