Triple

T9289614
Position Surface form Disambiguated ID Type / Status
Subject Article I, Section 2 of the United States Constitution E223483 entity
Predicate originallyCounted P22049 FINISHED
Object free persons for apportionment — 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: free persons for apportionment | Statement: [Article I, Section 2 of the United States Constitution, originallyCounted, free persons for apportionment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originallyCounted
Context triple: [Article I, Section 2 of the United States Constitution, originallyCounted, free persons for apportionment]
  • A. originallyHad
    Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
  • B. originallyIn
    Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
  • C. areCountedBy
    Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
  • D. originallyBy
    Indicates that one entity is the original creator, author, or source of another entity.
  • E. wasOriginally chosen
    Indicates that an entity had a particular state, form, type, or affiliation at an earlier time, which has since changed.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08643a848190a8b5be1ccc0b2ef6 completed April 1, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69cc7a5aeb748190afb89c6bbd2a6d6f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:35 p.m.