Triple

T231252
Position Surface form Disambiguated ID Type / Status
Subject Twenty-third Amendment to the United States Constitution E4414 entity
Predicate textBegins P1037 FINISHED
Object "Section 1. The District constituting the seat of Government of the United States shall appoint in such manner as the Congress may direct:" 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: "Section 1. The District constituting the seat of Government of the United States shall appoint in such manner as the Congress may direct:" | Statement: [Twenty-third Amendment to the United States Constitution, textBegins, "Section 1. The District constituting the seat of Government of the United States shall appoint in such manner as the Congress may direct:"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textBegins
Context triple: [Twenty-third Amendment to the United States Constitution, textBegins, "Section 1. The District constituting the seat of Government of the United States shall appoint in such manner as the Congress may direct:"]
  • A. languageBegins
    Indicates that a particular language starts to be used, recognized, or becomes relevant at a specific point in time or context.
  • B. textType
    Indicates the classification of a text according to its type, format, or genre.
  • C. preambleBeginsWith chosen
    Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
  • D. basedOnText
    Indicates that something is derived, adapted, or developed from a specific text source.
  • E. centralText
    Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e0868708190ad551ca06cc57f4a completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b5a075081909b0e9b88c1492d5a completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.