Triple

T37232009
Position Surface form Disambiguated ID Type / Status
Subject Veterans Bureau scandal E923158 entity
Predicate estimatedFinancialLoss P25888 FINISHED
Object millions of dollars in misused veterans’ funds 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: millions of dollars in misused veterans’ funds | Statement: [Veterans Bureau scandal, estimatedFinancialLoss, millions of dollars in misused veterans’ funds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedFinancialLoss
Context triple: [Veterans Bureau scandal, estimatedFinancialLoss, millions of dollars in misused veterans’ funds]
  • A. economicDamageApprox chosen
    Indicates that one entity has caused or is associated with an estimated or approximate amount of economic damage to another entity or system.
  • B. economicDamage
    Indicates that one entity causes or experiences financial loss, harm, or negative economic impact as a result of another entity or event.
  • C. estimatedPrincipalLoss
    Indicates the amount of principal that is expected to be lost on an investment, loan, or financial position.
  • D. estimatedCost
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • E. economicDamageRank
    Indicates the relative severity or position of an entity in terms of the economic damage it causes or experiences compared to others.
  • 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_69f76ea7f0008190b31b8e30f3d05a71 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbad1e94988190b86d447a68e65067 completed May 6, 2026, 9:05 p.m.
PD Predicate disambiguation batch_69fba881b8e0819094790935152b99a1 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:15 p.m.