Triple

T11054699
Position Surface form Disambiguated ID Type / Status
Subject Texas v. White E261344 entity
Predicate hasUnitedStatesReportsPage P41248 FINISHED
Object 700 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: 700 | Statement: [Texas v. White, hasUnitedStatesReportsPage, 700]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnitedStatesReportsPage
Context triple: [Texas v. White, hasUnitedStatesReportsPage, 700]
  • A. unitedStatesReportsPage chosen
    Indicates the specific page number within the United States Reports where a referenced legal case or decision is published.
  • B. firstPageInUnitedStatesReports
    Indicates that a legal case or decision appears on the first page of a specified volume of the United States Reports.
  • C. hasUSAN
    Indicates that an entity has a specified United States Adopted Name (USAN), typically a nonproprietary name assigned to a pharmaceutical substance.
  • D. countryReportsReviewed
    Indicates that one entity has examined and evaluated official reports originating from a particular country.
  • E. officiallyReports
    Indicates that one entity formally provides information, updates, or accountability to another entity within an official or authorized reporting structure.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a0890481909c1d4f9d5b23f33a completed April 9, 2026, 12:16 p.m.
PD Predicate disambiguation batch_69d7440da46c8190a77380d5d747ac9c completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.