Triple

T36639274
Position Surface form Disambiguated ID Type / Status
Subject European institutions and Member States E904539 entity
Predicate implementsLawThrough P100294 FINISHED
Object national administrations 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: national administrations | Statement: [European institutions and Member States, implementsLawThrough, national administrations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: implementsLawThrough
Context triple: [European institutions and Member States, implementsLawThrough, national administrations]
  • A. appliesLawThrough chosen
    Indicates that one entity enforces, implements, or carries out a law or legal rule by means of another entity or mechanism.
  • B. enforcesLawThrough
    Indicates that one entity upholds, applies, or executes laws or legal rules by means of another entity, mechanism, or process.
  • C. containsLaw
    Indicates that one entity (such as a document, code, or jurisdiction) includes or encompasses a specific law within it.
  • D. usesLawTo
    Indicates that one entity applies or relies on a specific law as a means or tool to affect, regulate, or influence another entity or situation.
  • E. containsLawOn
    Indicates that one entity (such as a document, code, or regulation) includes or sets forth legal provisions concerning another entity or subject.
  • 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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c777e924819081a6634f549fe552 completed May 3, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69f7c477a4d481908f52e55b6688f60c completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:11 p.m.