Triple

T958902
Position Surface form Disambiguated ID Type / Status
Subject University of Strathclyde E20688 entity
Predicate hasResearchStrength P366 FINISHED
Object engineering 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: engineering | Statement: [University of Strathclyde, hasResearchStrength, engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasResearchStrength
Context triple: [University of Strathclyde, hasResearchStrength, engineering]
  • A. researchStrength chosen
    Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
  • 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. hasResearchStatus
    Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
  • D. hasResearchInfrastructure
    Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
  • E. hasResearchServices
    Indicates that one entity provides or offers research-related services to another 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3fc94ec8190b55c6cdf3a37d6b5 completed March 1, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69a4b2a18ecc8190883f6206fe3b0fb6 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.