Triple

T15976464
Position Surface form Disambiguated ID Type / Status
Subject Supreme Administrative Court of Slovakia E387461 entity
Predicate appliesToAreaOfLaw P113669 FINISHED
Object administrative law 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: administrative law | Statement: [Supreme Administrative Court of Slovakia, appliesToAreaOfLaw, administrative law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToAreaOfLaw
Context triple: [Supreme Administrative Court of Slovakia, appliesToAreaOfLaw, administrative law]
  • A. appliesToFieldOfLaw chosen
    Indicates that something is relevant or applicable to a particular field or branch of law.
  • B. notableAreaOfLaw
    Indicates that a person or entity is particularly recognized or distinguished in a specific field or area of law.
  • C. appliedLawFrom
    Indicates that a specific law or legal provision was applied or derived from a particular source, context, or jurisdiction in a legal decision or situation.
  • D. branchOfLaw
    Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
  • E. legalCodeAppliesTo
    Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.