Triple

T14311955
Position Surface form Disambiguated ID Type / Status
Subject Rule 403 E354853 entity
Predicate requiresBalancing P113724 FINISHED
Object probative value versus risk of unfair prejudice 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: probative value versus risk of unfair prejudice | Statement: [Rule 403, requiresBalancing, probative value versus risk of unfair prejudice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresBalancing
Context triple: [Rule 403, requiresBalancing, probative value versus risk of unfair prejudice]
  • A. requiresBalanceWith
    Indicates that one entity’s state, quantity, or action must be countered or matched by another to maintain an overall balance or equilibrium.
  • B. forceBalance
    Indicates that the net forces acting on an entity or system are in equilibrium, resulting in no overall acceleration.
  • C. aimsToBalance
    Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
  • D. hasRebalancing
    Indicates that an entity undergoes or is subject to an adjustment process to restore a desired balance or allocation among its components or related elements.
  • E. balancesWith
    Indicates that two entities are in a state of equilibrium or mutual offset, such that each counterbalances or matches the other in a specified context.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69de2e07d1f88190bdcd20967e484718 completed April 14, 2026, 12:07 p.m.
Created at: April 10, 2026, 1:12 a.m.