Triple

T3826674
Position Surface form Disambiguated ID Type / Status
Subject Magnuson Act of 1943 E88706 entity
Predicate imposedQuotaOn P7925 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: [Magnuson Act of 1943, imposedQuotaOn, Chinese immigrants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: imposedQuotaOn
Context triple: [Magnuson Act of 1943, imposedQuotaOn, Chinese immigrants]
  • A. imposedOn
    Indicates that one party enforces, applies, or places a requirement, burden, or constraint onto another party or entity.
  • B. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • C. conversionPolicyImposedBy
    Indicates that a specific conversion policy is mandated or enforced by a particular authority or entity.
  • D. imposes chosen
    Indicates that one entity enforces, applies, or places a rule, condition, burden, or obligation upon another entity.
  • E. supportsProjectQuotas
    Indicates that one entity provides or enables project-specific quota limits or enforcement for another entity.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8459f881908a2c91bb07e381ef completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:17 p.m.