Triple

T35407019
Position Surface form Disambiguated ID Type / Status
Subject Schedule for Industrial Products and Services E1023385 entity
Predicate purpose P79 FINISHED
Object to provide federal agencies with pre-negotiated access to commercial industrial supplies, equipment, and related services 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 provide federal agencies with pre-negotiated access to commercial industrial supplies, equipment, and related services | Statement: [Schedule for Industrial Products and Services, purpose, to provide federal agencies with pre-negotiated access to commercial industrial supplies, equipment, and related services]

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_69f76df43ca4819098711ca4370f1bb9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7956423b481908041090133ac61de completed May 3, 2026, 6:35 p.m.
Created at: May 3, 2026, 4:03 p.m.