Triple

T208999
Position Surface form Disambiguated ID Type / Status
Subject Federal Records Act E4671 entity
Predicate requires P100 FINISHED
Object federal agencies to make and preserve records documenting their organization, functions, policies, decisions, procedures, and essential transactions 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: federal agencies to make and preserve records documenting their organization, functions, policies, decisions, procedures, and essential transactions | Statement: [Federal Records Act, requires, federal agencies to make and preserve records documenting their organization, functions, policies, decisions, procedures, and essential transactions]

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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c082fa08190b4d097bf68300222 completed Feb. 28, 2026, 3:07 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.