Triple

T28540044
Position Surface form Disambiguated ID Type / Status
Subject federal Anti-Kickback Statute E722265 entity
Predicate violationType P72178 FINISHED
Object felony offense 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: felony offense | Statement: [federal Anti-Kickback Statute, violationType, felony offense]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: violationType
Context triple: [federal Anti-Kickback Statute, violationType, felony offense]
  • A. violationOf
    Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
  • B. typeOfViolationsCovered
    Indicates the kinds or categories of violations that are included within the scope of a rule, policy, agreement, or enforcement action.
  • C. violationContext
    Indicates the specific circumstances, conditions, or situational factors under which a violation occurs or is considered to have occurred.
  • D. allegedViolationSystem
    Indicates a system is reported or suspected to have violated a rule, policy, or regulation, without the violation being legally or formally established.
  • E. infringementType chosen
    Indicates the specific category or nature of a violation or breach committed in relation to a rule, right, or law.
  • 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_69f01a5e42348190b1ffbca26e739c84 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f650083c8481909736efe0d3008623 completed May 2, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69f64cb0d8008190912e1430cfaf92aa completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 3:34 a.m.