Triple

T495203
Position Surface form Disambiguated ID Type / Status
Subject '33 Act E10276 entity
Predicate section17Prohibits P272 FINISHED
Object fraud in the offer or sale of securities 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: fraud in the offer or sale of securities | Statement: ['33 Act, section17Prohibits, fraud in the offer or sale of securities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: section17Prohibits
Context triple: ['33 Act, section17Prohibits, fraud in the offer or sale of securities]
  • A. prohibits chosen
    Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
  • B. section7Provides
    Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
  • C. disputedSections
    Indicates that specific parts or portions of something are contested, challenged, or not mutually agreed upon between parties.
  • D. notableRestriction
    Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
  • E. significantLawSection
    Indicates that a particular section of law is especially relevant or important in the context of the described legal situation or relationship.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fdd5608190815fa36485df8962 completed Feb. 28, 2026, 1:43 p.m.
PD Predicate disambiguation batch_69a2edf90ca88190b6a182e5b6733612 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.