Triple

T5782327
Position Surface form Disambiguated ID Type / Status
Subject Rocky Flats Plant E128187 entity
Predicate cleanupCost P4259 FINISHED
Object approximately $7 billion LITERAL FINISHED

How this triple was built (2 steps)

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: approximately $7 billion | Statement: [Rocky Flats Plant, cleanupCost, approximately $7 billion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cleanupCost
Context triple: [Rocky Flats Plant, cleanupCost, approximately $7 billion]
  • A. estimatedCost chosen
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • B. costToUser
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • C. coversCosts
    Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
  • D. recoversCostsVia
    Indicates that one party regains or offsets its incurred costs through a specified mechanism, source, or intermediary.
  • E. reducedCostOf
    Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
  • F. None of above.

Provenance (3 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a17315881908aa12a830ba5f22b completed March 22, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69c021d2cd608190b98a7e3aa7001d27 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:50 p.m.