Triple

T454315
Position Surface form Disambiguated ID Type / Status
Subject Office of the Chief Information Officer (U.S. Department of Labor) E7198 entity
Predicate mission P68 FINISHED
Object to safeguard the confidentiality, integrity, and availability of the U.S. Department of Labor information resources 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 safeguard the confidentiality, integrity, and availability of the U.S. Department of Labor information resources | Statement: [Office of the Chief Information Officer (U.S. Department of Labor), mission, to safeguard the confidentiality, integrity, and availability of the U.S. Department of Labor information resources]

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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef87cc7c8190a0fec933457821e2 completed Feb. 28, 2026, 1:37 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.