Triple

T16284686
Position Surface form Disambiguated ID Type / Status
Subject Office of the High Representative for Least Developed Countries, Landlocked Developing Countries and Small Island Developing States E395358 entity
Predicate goal P68 FINISHED
Object support graduation of least developed countries from LDC status 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: support graduation of least developed countries from LDC status | Statement: [Office of the High Representative for Least Developed Countries, Landlocked Developing Countries and Small Island Developing States, goal, support graduation of least developed countries from LDC status]

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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24913a55081909a9a5a7a7f4806cc completed April 17, 2026, 2:52 p.m.
Created at: April 10, 2026, 5:05 a.m.