Triple

T22770467
Position Surface form Disambiguated ID Type / Status
Subject Doctor honoris causa, University of Oslo E563540 entity
Predicate entailsResearchObligations P149665 FINISHED
Object false 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: false | Statement: [Doctor honoris causa, University of Oslo, entailsResearchObligations, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: entailsResearchObligations
Context triple: [Doctor honoris causa, University of Oslo, entailsResearchObligations, false]
  • A. isResearchOriented
    Indicates that an entity is primarily focused on conducting, supporting, or advancing research activities.
  • B. researchConstraints
    Indicates that there are specific limitations, rules, or conditions that restrict how the research can be designed, conducted, or interpreted.
  • C. usesResearchSubject
    Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
  • D. hasResearchUse
    Indicates that an entity is used for, or associated with, conducting research activities or purposes.
  • E. supportsResearchIn
    Indicates that one entity provides resources, assistance, or infrastructure that enables or advances research activities in a particular field or area for another entity.
  • F. None of above. chosen

Provenance (4 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b5cea44819097290351da9c488d completed April 29, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69eed2b88d88819096015deb6a648801 completed April 27, 2026, 3:06 a.m.
PDg Predicate description generation batch_69eeeb5681f88190821129ced752f190 completed April 27, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:27 p.m.