Triple

T26745271
Position Surface form Disambiguated ID Type / Status
Subject Martha Sandoval E674380 entity
Predicate allegedDiscriminationBasis P164405 FINISHED
Object national origin 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: national origin | Statement: [Martha Sandoval, allegedDiscriminationBasis, national origin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegedDiscriminationBasis
Context triple: [Martha Sandoval, allegedDiscriminationBasis, national origin]
  • A. prohibitsDiscriminationBasis
    Indicates that an entity forbids discriminatory treatment based on specified characteristics or grounds.
  • B. discriminationStatus
    Indicates whether an entity is subject to, engaged in, or affected by discriminatory treatment based on protected or distinguishing characteristics.
  • C. discriminatedAgainst
    Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
  • D. discriminationGround chosen
    Indicates the basis or reason (such as a characteristic or attribute) on which discriminatory treatment is applied in the relationship.
  • E. addressesDiscriminationAgainst
    Indicates that an action, policy, or measure is specifically aimed at confronting, reducing, or eliminating discrimination directed toward certain individuals or groups.
  • 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_69eecda63a3881908095c47900692e65 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 27, 2026, 3:51 a.m.