Triple

T704513
Position Surface form Disambiguated ID Type / Status
Subject Boys & Girls Clubs of America E14069 entity
Predicate mission P68 FINISHED
Object to enable all young people, especially those who need support most, to reach their full potential as productive, caring, responsible citizens 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: to enable all young people, especially those who need support most, to reach their full potential as productive, caring, responsible citizens | Statement: [Boys & Girls Clubs of America, mission, to enable all young people, especially those who need support most, to reach their full potential as productive, caring, responsible citizens]

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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a533fa788190bba0f55655469c46 completed March 1, 2026, 8:44 p.m.
Created at: March 1, 2026, 7:36 p.m.