Triple

T38482666
Position Surface form Disambiguated ID Type / Status
Subject Naturalization Act of 1790 E917823 entity
Predicate discriminatoryCriterion P164405 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: [Naturalization Act of 1790, discriminatoryCriterion, race]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discriminatoryCriterion
Context triple: [Naturalization Act of 1790, discriminatoryCriterion, race]
  • A. discriminationStatus
    Indicates whether an entity is subject to, engaged in, or affected by discriminatory treatment based on protected or distinguishing characteristics.
  • B. discriminatoryLaw
    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.
  • C. prohibitsDiscriminationBasis
    Indicates that an entity forbids discriminatory treatment based on specified characteristics or grounds.
  • D. discriminationGround chosen
    Indicates the basis or reason (such as a characteristic or attribute) on which discriminatory treatment is applied in the relationship.
  • E. definesDiscriminationAs
    Indicates that one entity specifies or establishes the meaning, criteria, or conditions that constitute discrimination for another entity or within a given context.
  • 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_69f76e9894208190a129a553a60ca58c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:31 p.m.