Triple

T12686209
Position Surface form Disambiguated ID Type / Status
Subject The Children Act E303073 entity
Predicate legalIssueDepicted P71081 FINISHED
Object application of the Children Act 1989 in medical treatment decisions 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: application of the Children Act 1989 in medical treatment decisions | Statement: [The Children Act, legalIssueDepicted, application of the Children Act 1989 in medical treatment decisions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalIssueDepicted
Context triple: [The Children Act, legalIssueDepicted, application of the Children Act 1989 in medical treatment decisions]
  • A. hasLegalIssue
    Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
  • B. legalMatters chosen
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • C. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • D. legalCaseRelatedTo
    Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
  • E. legalSystemDepictedAs
    Indicates that one entity portrays, represents, or characterizes a legal system in a particular way or form.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
PD Predicate disambiguation batch_69d960bb64ec8190bd0400cf0cc8b0a7 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:21 p.m.