Triple

T3335975
Position Surface form Disambiguated ID Type / Status
Subject National Assembly of Hungary E70140 entity
Predicate governmentTypeRole P18993 FINISHED
Object legislative branch 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: legislative branch | Statement: [National Assembly of Hungary, governmentTypeRole, legislative branch]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeRole
Context triple: [National Assembly of Hungary, governmentTypeRole, legislative branch]
  • A. governmentalRole
    Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
  • B. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • C. countryNationalRole
    Indicates the official function, position, or responsibility that an entity holds at the national level within a specific country.
  • D. officeHolderRoleFor
    Indicates that a specific role or position is held by an office holder within an organization or governing body.
  • E. typeOfOffice chosen
    Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb197bd0481909a5cf7eab386e176 completed March 8, 2026, 5:27 p.m.
PD Predicate disambiguation batch_69ada42c2ba8819091136805ce17b39d completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.