Triple

T12184196
Position Surface form Disambiguated ID Type / Status
Subject Robert Walmsley University Professor E290290 entity
Predicate fieldRequirement P21207 FINISHED
Object cross-disciplinary research 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: cross-disciplinary research | Statement: [Robert Walmsley University Professor, fieldRequirement, cross-disciplinary research]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldRequirement
Context triple: [Robert Walmsley University Professor, fieldRequirement, cross-disciplinary research]
  • A. densityRequirement
    Indicates that there is a specified minimum or target density that must be met or maintained in the relationship between the related entities.
  • B. fieldPresence chosen
    Indicates that a particular field or attribute exists or is present within a given context, object, or dataset.
  • C. requiredBy
    Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
  • D. requiredOn
    Indicates that one entity must exist, be present, or be fulfilled on a specific other entity, date, or condition as a mandatory requirement.
  • E. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91a83012c81908d04bbab5fdcd8c2 completed April 10, 2026, 3:42 p.m.
PD Predicate disambiguation batch_69d91510a258819090ef8fbdc2d8707b completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.