Triple

T3356318
Position Surface form Disambiguated ID Type / Status
Subject Constitutional Court of Hungary E70612 entity
Predicate belongsToLegalSystem P605 FINISHED
Object Hungarian legal system 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: Hungarian legal system | Statement: [Constitutional Court of Hungary, belongsToLegalSystem, Hungarian legal system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToLegalSystem
Context triple: [Constitutional Court of Hungary, belongsToLegalSystem, Hungarian legal system]
  • A. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • B. legalSystemWorkedIn
    Indicates that a person carried out their professional legal activities within a particular legal system or jurisdiction.
  • C. legalSystemWorkedOn
    Indicates that a legal system has been applied to, influenced, or modified by some agent or process.
  • D. separateLegalSystem
    Indicates that one entity maintains its own distinct and independent legal system from another entity.
  • E. legalSystem chosen
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb242d4988190bbac993df587936d completed March 8, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69ada42fbe7c8190b9f185b5ab985f17 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.