Triple

T37557113
Position Surface form Disambiguated ID Type / Status
Subject Mauritius Strategy for the Further Implementation of the Programme of Action for the Sustainable Development of Small Island Developing States E933723 entity
Predicate focusesOn P31 FINISHED
Object science and technology for sustainable development in small island developing states 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: science and technology for sustainable development in small island developing states | Statement: [Mauritius Strategy for the Further Implementation of the Programme of Action for the Sustainable Development of Small Island Developing States, focusesOn, science and technology for sustainable development in small island developing states]

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_69f76ecb4acc8190b53f96d0b013e415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba45656008190bd45af806cf191fb completed May 6, 2026, 8:28 p.m.
Created at: May 3, 2026, 4:17 p.m.