Triple

T27858004
Position Surface form Disambiguated ID Type / Status
Subject Criminal Procedure Rules 2015 E704138 entity
Predicate overridingObjective P163967 FINISHED
Object to deal with cases justly 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: to deal with cases justly | Statement: [Criminal Procedure Rules 2015, overridingObjective, to deal with cases justly]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overridingObjective
Context triple: [Criminal Procedure Rules 2015, overridingObjective, to deal with cases justly]
  • A. overrides
    Indicates that one entity replaces, supersedes, or takes precedence over another in determining the outcome or applicable behavior.
  • B. replacesObjective
    Indicates that one entity takes over or substitutes for another entity in fulfilling a particular objective or role.
  • C. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
  • D. actorObjective
    Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
  • E. opponentObjective
    Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
  • 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_69ef840e614c8190a88cf9638c14a265 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6416fbf4081909b0913c337927fc4 completed May 2, 2026, 6:24 p.m.
PD Predicate disambiguation batch_69f63c6895f0819088655277e45859a8 completed May 2, 2026, 6:03 p.m.
PDg Predicate description generation batch_69f63fd4f7448190930c723ba7cfce62 completed May 2, 2026, 6:17 p.m.
Created at: April 27, 2026, 6:15 p.m.