Triple

T8401000
Position Surface form Disambiguated ID Type / Status
Subject Title I of the Civil Rights Act of 1964 E198168 entity
Predicate typeOfRestrictionAddressed P64496 FINISHED
Object discriminatory registration tests 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: discriminatory registration tests | Statement: [Title I of the Civil Rights Act of 1964, typeOfRestrictionAddressed, discriminatory registration tests]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfRestrictionAddressed
Context triple: [Title I of the Civil Rights Act of 1964, typeOfRestrictionAddressed, discriminatory registration tests]
  • A. hasTypeOfRestriction chosen
    Indicates that an entity is subject to a specific kind or category of restriction that limits its use, access, or behavior.
  • B. hasSemanticRestriction
    Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
  • C. restraintType
    Indicates the specific kind or method of restraint applied in a given situation or relationship.
  • D. notableRestriction
    Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
  • E. positionRestriction
    Indicates a constraint or limitation on where an entity may be located or positioned relative to something else.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824da3148190bfa3a1abfdfa02de completed March 31, 2026, 8:14 a.m.
PD Predicate disambiguation batch_69cb70d473dc8190af8ea81ee5aa970d completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:04 p.m.