Triple

T11298104
Position Surface form Disambiguated ID Type / Status
Subject Naturalization Act of 1870 E267505 entity
Predicate maintainsRestrictionTo P19438 FINISHED
Object white persons 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: white persons | Statement: [Naturalization Act of 1870, maintainsRestrictionTo, white persons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maintainsRestrictionTo
Context triple: [Naturalization Act of 1870, maintainsRestrictionTo, white persons]
  • A. mayHaveRestriction
    Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
  • B. mandateRestriction
    Indicates that an authority imposes a binding limitation or requirement on an entity’s actions or conditions.
  • C. maintainedWithin
    Indicates that one entity is kept, preserved, or sustained inside the boundaries or context of another entity.
  • D. notableRestriction
    Indicates that there is a significant limitation, constraint, or prohibition that meaningfully affects the entity or its use.
  • E. membershipRelationRestrictedTo chosen
    Indicates that a membership relationship between entities is limited or constrained to a specified subset, context, or condition.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a3616c8190a8fd23ca67463806 completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787a6ca2c8190afdc24b61ccd3f8a completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.