Triple

T7218270
Position Surface form Disambiguated ID Type / Status
Subject House of Representatives of Cyprus E150189 entity
Predicate oversightMethods P15245 FINISHED
Object parliamentary questions 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: parliamentary questions | Statement: [House of Representatives of Cyprus, oversightMethods, parliamentary questions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oversightMethods
Context triple: [House of Representatives of Cyprus, oversightMethods, parliamentary questions]
  • A. oversightFocus
    Indicates that one entity’s oversight, supervision, or monitoring activities are specifically directed toward another entity or aspect.
  • B. oversightOfficial
    Indicates that one entity has formal responsibility for supervising, monitoring, or reviewing the actions or performance of another entity.
  • C. oversightType
    Indicates the specific kind or category of oversight applied to an entity or activity, such as the manner or level of supervision, review, or regulatory control involved.
  • D. oversightScope
    Indicates the range or extent of responsibilities and activities that fall under an entity’s oversight or supervisory authority.
  • E. oversightTools chosen
    Indicates that certain tools or mechanisms are used to monitor, review, or supervise the actions or performance of an 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99170d88190b1aef326a7d81134 completed March 27, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69c6e75f84e481909e7866186ae80cff completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:53 p.m.