Triple

T11198168
Position Surface form Disambiguated ID Type / Status
Subject Vives Network E264973 entity
Predicate name P16 FINISHED
Object Vives Network E264973 NE 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: Vives Network | Statement: [Vives Network, name, Vives Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vives Network
Context triple: [Vives Network, name, Vives Network]
  • A. Vives Network chosen
    Vives Network is a collaborative association of universities and higher education institutions in the Catalan-speaking regions that promotes academic, cultural, and research cooperation.
  • B. Viva Connections
    Viva Connections is a Microsoft 365 employee experience platform that surfaces personalized company news, resources, and tasks directly within Microsoft Teams.
  • C. Viva Engage
    Viva Engage is Microsoft’s enterprise social networking and community engagement platform that evolved from Yammer to foster communication and knowledge sharing within organizations.
  • D. Sunshine Network
    Sunshine Network is a regional sports television network known for broadcasting local and collegiate sporting events.
  • E. Magalhães Network
    Magalhães Network is an academic consortium that promotes cooperation, mobility, and exchange programs among universities in Ibero-America and Europe, particularly in engineering and related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c082fc8190866c574f698b59ef completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4841038e48190bc6efdf91c8a8199 completed April 19, 2026, 7:28 a.m.
Created at: April 8, 2026, 9:29 p.m.