Triple

T16105647
Position Surface form Disambiguated ID Type / Status
Subject Chinese Exclusion Repeal Act of 1943 E390731 entity
Predicate immigrationQuotaBasis P121957 FINISHED
Object national origins quota system 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 origins quota system | Statement: [Chinese Exclusion Repeal Act of 1943, immigrationQuotaBasis, national origins quota system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: immigrationQuotaBasis
Context triple: [Chinese Exclusion Repeal Act of 1943, immigrationQuotaBasis, national origins quota system]
  • A. immigrationType
    Indicates the specific category or classification of an individual’s immigration status or entry into a country.
  • B. citizenshipBasedOn
    Indicates that an entity’s citizenship is determined or derived from another specified factor, condition, or relationship.
  • C. limitedImmigrationFrom
    Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source entity.
  • D. immigrationReason
    Indicates the reason or motivation behind an entity’s act of immigrating from one place to another.
  • E. restrictedImmigrantsFrom
    Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e182804208819087f35307cd6e4103 completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e1ff5cd7e481908a29214139a3de2e completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 5 a.m.