Triple

T1440327
Position Surface form Disambiguated ID Type / Status
Subject Pregnancy Discrimination Act of 1978 E31054 entity
Predicate definesAsSexDiscrimination P29337 FINISHED
Object discrimination on the basis of pregnancy 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: discrimination on the basis of pregnancy | Statement: [Pregnancy Discrimination Act of 1978, definesAsSexDiscrimination, discrimination on the basis of pregnancy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesAsSexDiscrimination
Context triple: [Pregnancy Discrimination Act of 1978, definesAsSexDiscrimination, discrimination on the basis of pregnancy]
  • A. 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.
  • 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. formerGenderAdmission
    Indicates that an institution previously admitted a particular gender but no longer does so.
  • D. hasGenderDistinction
    Indicates that a relationship, classification, or linguistic form differentiates entities based on gender categories.
  • E. genderCategories
    Indicates the classification of an entity into one or more gender-related categories or identities.
  • F. None of above. chosen

Provenance (4 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5ff8dbc81909eafcfc9f2260a22 completed March 1, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69a4c478f65481909ee716791c663491 completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c5fd2c5c81909283b7a74aff89b7 completed March 1, 2026, 11:04 p.m.
Created at: March 1, 2026, 8 p.m.