Triple

T7198824
Position Surface form Disambiguated ID Type / Status
Subject Fair Play for Cuba Committee leafleting in New Orleans E168683 entity
Predicate hasLegalAspect P69180 FINISHED
Object police intervention during demonstrations 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: police intervention during demonstrations | Statement: [Fair Play for Cuba Committee leafleting in New Orleans, hasLegalAspect, police intervention during demonstrations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalAspect
Context triple: [Fair Play for Cuba Committee leafleting in New Orleans, hasLegalAspect, police intervention during demonstrations]
  • A. hasLegalSubject
    Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
  • B. hasLegalIssue
    Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
  • C. hasLegalRelevanceIn
    Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
  • D. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • E. hasLawTheme chosen
    Indicates that something is related to, concerned with, or thematically focused on law or legal matters.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e92b8bc08190bfcdd34ce42e3448 completed March 27, 2026, 8:31 p.m.
PD Predicate disambiguation batch_69c6e757fed4819091b0a096e3befc3a completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:52 p.m.