Triple

T14312090
Position Surface form Disambiguated ID Type / Status
Subject Rule 414 E354856 entity
Predicate createsExceptionTo P28876 FINISHED
Object general prohibition on propensity evidence 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: general prohibition on propensity evidence | Statement: [Rule 414, createsExceptionTo, general prohibition on propensity evidence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: createsExceptionTo
Context triple: [Rule 414, createsExceptionTo, general prohibition on propensity evidence]
  • A. publicSafetyExceptionCreated
    Indicates that a public safety-related exception or exemption has been created or recorded in the system.
  • B. throwsException
    Indicates that an operation or method results in an exception being raised during its execution.
  • C. hasExceptionConstruct
    Indicates that a construct or element is associated with, or defined by, a specific exception-handling construct (such as a try-catch or similar exception mechanism).
  • D. reasonForException chosen
    Indicates the specific cause or justification for why a normal rule, process, or condition does not apply in a given case.
  • E. throws
    Indicates that one entity propels or hurls another entity or object through space, typically by a deliberate physical action.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b386d0819087d14f3ce84a1997 completed April 14, 2026, 6:21 p.m.
PD Predicate disambiguation batch_69de2a8f81f08190af737e1654847aa6 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:12 a.m.