Triple

T8355925
Position Surface form Disambiguated ID Type / Status
Subject Geary Act E196680 entity
Predicate discriminatesAgainst P4663 FINISHED
Object Chinese immigrants 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: Chinese immigrants | Statement: [Geary Act, discriminatesAgainst, Chinese immigrants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discriminatesAgainst
Context triple: [Geary Act, discriminatesAgainst, Chinese immigrants]
  • A. discriminatedAgainst
    Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
  • B. discriminationStatus
    Indicates whether an entity is subject to, engaged in, or affected by discriminatory treatment based on protected or distinguishing characteristics.
  • 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. prohibitsDiscriminationBasis
    Indicates that an entity forbids discriminatory treatment based on specified characteristics or grounds.
  • E. definesAsSexDiscrimination
    Indicates that an action, policy, or treatment is classified or recognized as constituting sex-based discrimination.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb804a344c819089c0a13fe66e3088 completed March 31, 2026, 8:05 a.m.
PD Predicate disambiguation batch_69cb70ca25548190b0f90c5384e3fb3c completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:59 p.m.