Triple

T25470422
Position Surface form Disambiguated ID Type / Status
Subject University of Southern Denmark E638288 entity
Predicate hasStrongFocusOn P10167 FINISHED
Object internationalization 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: internationalization | Statement: [University of Southern Denmark, hasStrongFocusOn, internationalization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStrongFocusOn
Context triple: [University of Southern Denmark, hasStrongFocusOn, internationalization]
  • A. hasSymbolicFocusOn
    Indicates that one entity is conceptually or symbolically centered on, directed toward, or primarily concerned with another entity.
  • B. hasFocusSystem
    Indicates that one entity is the primary system or subsystem that another entity is currently directing its attention, control, or processing resources toward.
  • C. hasPrimaryFocus chosen
    Indicates that something is the main subject, concern, or area of attention for an entity or activity.
  • D. hasProgramFocus
    Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
  • E. haveFocusSystem
    Indicates that an entity is currently the primary target or active focus within a system or context.
  • 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_69e75db9b964819096802dcf502e577e completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6afebd7ec8190ab696f363d84abf0 completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca204148190850a3dc325bc07b7 completed May 3, 2026, 2:02 a.m.
Created at: April 21, 2026, 2:22 p.m.