Triple

T16171914
Position Surface form Disambiguated ID Type / Status
Subject Woolworth’s lunch counter (Greensboro) E392458 entity
Predicate associatedWithLawContext P2132 FINISHED
Object Jim Crow segregation 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: Jim Crow segregation | Statement: [Woolworth’s lunch counter (Greensboro), associatedWithLawContext, Jim Crow segregation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithLawContext
Context triple: [Woolworth’s lunch counter (Greensboro), associatedWithLawContext, Jim Crow segregation]
  • A. legalContext chosen
    Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
  • B. linkedLaw
    Indicates that there is a connection or reference between an entity and a specific law or legal provision.
  • C. associatedWithCourt
    Indicates a relationship in which an entity is linked or connected to a specific court, such as through jurisdiction, affiliation, or involvement in legal proceedings.
  • 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. legalCaseAlongside
    Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb7ab1481908fc35bfc8c56e5f2 completed April 17, 2026, 11:51 a.m.
PD Predicate disambiguation batch_69e219d642708190ba31a90dce76a210 completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:02 a.m.