Triple

T387924
Position Surface form Disambiguated ID Type / Status
Subject United Nations Environment Programme E8817 entity
Predicate hasMainMission P1415 FINISHED
Object inspire, inform and enable nations and peoples to improve quality of life without compromising that of future generations 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: inspire, inform and enable nations and peoples to improve quality of life without compromising that of future generations | Statement: [United Nations Environment Programme, hasMainMission, inspire, inform and enable nations and peoples to improve quality of life without compromising that of future generations]

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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5828d881909e8810061c02480c completed Feb. 28, 2026, 1:23 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.