Triple

T16031133
Position Surface form Disambiguated ID Type / Status
Subject Centre for Economic Policy Research E388846 entity
Predicate hasResearchNetwork P33630 FINISHED
Object research programmes 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: research programmes | Statement: [Centre for Economic Policy Research, hasResearchNetwork, research programmes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasResearchNetwork
Context triple: [Centre for Economic Policy Research, hasResearchNetwork, research programmes]
  • A. hasResearcher
    Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
  • B. hasResearchArea
    Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
  • C. isResearchHub
    Indicates that an entity serves as a central location or focal point for conducting, coordinating, or supporting research activities.
  • D. hasResearchActivities chosen
    Indicates that an entity engages in, conducts, or is associated with research-related activities.
  • E. hasResearchInfrastructure
    Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1826f34c081908005bb736f1c485d completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:56 a.m.