Triple

T23026803
Position Surface form Disambiguated ID Type / Status
Subject Katholieke Universiteit Brabant E573337 entity
Predicate hasFormerNameRelation P65 FINISHED
Object Katholieke Universiteit Brabant – Tilburg University name change 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: Katholieke Universiteit Brabant – Tilburg University name change | Statement: [Katholieke Universiteit Brabant, hasFormerNameRelation, Katholieke Universiteit Brabant – Tilburg University name change]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerNameRelation
Context triple: [Katholieke Universiteit Brabant, hasFormerNameRelation, Katholieke Universiteit Brabant – Tilburg University name change]
  • A. hasFormerPartnerName
    Indicates that an entity has the recorded name of a person or organization who was previously their partner.
  • B. hasFormerIdentity
    Indicates that an entity previously had a different identity, name, or role before its current one.
  • C. formerName chosen
    Indicates that an entity was previously known by a different name in the past.
  • D. hasSubsequentNameChange
    Indicates that an entity undergoes a later change to its name, resulting in a new official designation after the original.
  • E. containsFormerlyNamed
    Indicates that one entity currently contains another entity that was previously known by a different name.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847d7cb48190902169813c46a278 completed April 29, 2026, 4:09 a.m.
PD Predicate disambiguation batch_69ef3ba004a48190885aece88efd1f52 completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:52 p.m.