Triple

T35129487
Position Surface form Disambiguated ID Type / Status
Subject Rule 33 – Demurrer to Evidence E1014398 entity
Predicate legalEffectOfGrant P6506 FINISHED
Object adjudication on the merits subject to appeal 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: adjudication on the merits subject to appeal | Statement: [Rule 33 – Demurrer to Evidence, legalEffectOfGrant, adjudication on the merits subject to appeal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalEffectOfGrant
Context triple: [Rule 33 – Demurrer to Evidence, legalEffectOfGrant, adjudication on the merits subject to appeal]
  • A. effectOfGrant
    Indicates the outcome, impact, or change that results from a particular grant being given.
  • B. legalEffectIfAdopted
    Indicates that a specified legal effect or consequence will occur if a particular proposal, rule, or measure is formally adopted.
  • C. hasLegalEffect chosen
    Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
  • D. grantsStatusEffect
    Indicates that one entity applies or bestows a specific status effect onto another entity.
  • E. legalEffectOfAbrogation
    Indicates the legal consequences or changes in rights and obligations that result from the abrogation (repeal or annulment) of a law, rule, or legal act.
  • 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_69f76dd8b6948190aaa32b081816bd94 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff8ba3f8248190bbdf8e7ec2b35093 completed May 9, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69ff8b41ba988190a7332e8317d10f09 completed May 9, 2026, 7:30 p.m.
Created at: May 3, 2026, 4:02 p.m.