Triple

T1758253
Position Surface form Disambiguated ID Type / Status
Subject Chinese Exclusion Act of 1882 E38597 entity
Predicate discriminatoryOnBasisOf P4663 FINISHED
Object race 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: race | Statement: [Chinese Exclusion Act of 1882, discriminatoryOnBasisOf, race]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discriminatoryOnBasisOf
Context triple: [Chinese Exclusion Act of 1882, discriminatoryOnBasisOf, race]
  • A. prohibitsDiscriminationBasis
    Indicates that an entity forbids discriminatory treatment based on specified characteristics or grounds.
  • B. discriminatedAgainst
    Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
  • C. discriminatoryLaw chosen
    Indicates that a law treats individuals or groups differently in a way that is biased, unfair, or based on protected characteristics such as race, gender, or religion.
  • D. definesAsSexDiscrimination
    Indicates that an action, policy, or treatment is classified or recognized as constituting sex-based discrimination.
  • E. segregationBasis
    Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab173936b4819097332ee185996bbd completed March 6, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69aa61c9e06c819085489e00cfe72153 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.