Triple

T20985222
Position Surface form Disambiguated ID Type / Status
Subject Reapportionment Act of 1929 E516874 entity
Predicate longTitleSubject P46782 FINISHED
Object apportionment of Representatives in Congress among the several States 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: apportionment of Representatives in Congress among the several States | Statement: [Reapportionment Act of 1929, longTitleSubject, apportionment of Representatives in Congress among the several States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: longTitleSubject
Context triple: [Reapportionment Act of 1929, longTitleSubject, apportionment of Representatives in Congress among the several States]
  • A. longTitle
    Indicates that an entity has an extended or full-length title associated with it.
  • B. titleSubjectName
    Indicates that the predicate specifies the name of the subject associated with a given title.
  • C. titleSubjectOf
    Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
  • D. hasTitleSubject chosen
    Indicates that an entity has a specific subject or topic as the focus of its title.
  • E. higherTitleOf
    Indicates that one entity holds a job or position title that is hierarchically superior to the title held by 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe218748190a987b9f922d9be1b completed April 21, 2026, 4:24 a.m.
PD Predicate disambiguation batch_69e5dbec80708190a49bccab7ff97e7b completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:48 p.m.