Triple

T3826683
Position Surface form Disambiguated ID Type / Status
Subject Magnuson Act of 1943 E88706 entity
Predicate legalStatusOfChinese P2250 FINISHED
Object permitted to become naturalized U.S. citizens 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: permitted to become naturalized U.S. citizens | Statement: [Magnuson Act of 1943, legalStatusOfChinese, permitted to become naturalized U.S. citizens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusOfChinese
Context triple: [Magnuson Act of 1943, legalStatusOfChinese, permitted to become naturalized U.S. citizens]
  • A. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • B. legalStatusVariesBy
    Indicates that the legal status of something differs depending on a specified jurisdiction, context, or set of conditions.
  • C. legalStatusInMyanmar
    Indicates the legal status or standing that an entity holds under the laws and regulations of Myanmar.
  • D. legalStatusModern
    Indicates the current legal standing or classification of an entity under contemporary law or regulatory frameworks.
  • E. hasLegalStatus chosen
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • 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.