Triple

T21963363
Position Surface form Disambiguated ID Type / Status
Subject Centre for Collaboration with Partnership Networks E542392 entity
Predicate purpose P79 FINISHED
Object facilitate cooperation between the Norwegian Institute of Public Health and external partners LITERAL FINISHED

How this triple was built (1 step)

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: facilitate cooperation between the Norwegian Institute of Public Health and external partners | Statement: [Centre for Collaboration with Partnership Networks, purpose, facilitate cooperation between the Norwegian Institute of Public Health and external partners]

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12458e4488190a04f8d3958854b49 completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.