Triple

T16910
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of the United States E336 entity
Predicate appointmentMethod P1030 FINISHED
Object presidential nomination with Senate confirmation 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: presidential nomination with Senate confirmation | Statement: [Supreme Court of the United States, appointmentMethod, presidential nomination with Senate confirmation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appointmentMethod
Context triple: [Supreme Court of the United States, appointmentMethod, presidential nomination with Senate confirmation]
  • A. callingCode
    Indicates the telephone country or area code associated with an entity for making phone calls.
  • B. areaCode
    Indicates that a location, phone number, or region is associated with a specific telephone area code.
  • C. endPoint
    Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
  • D. coordinatedWith
    Indicates that two or more entities have worked together in an organized, cooperative manner toward a shared task, goal, or activity.
  • E. hasAreaCode
    Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
  • F. None of above. chosen

Provenance (4 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a241ea1ea081908e8a81ca97531ba5 completed Feb. 28, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69a23fec1fe8819080da6f2c745dc8fd completed Feb. 28, 2026, 1:07 a.m.
PDg Predicate description generation batch_69a241e933288190b02ef5369f7b8834 completed Feb. 28, 2026, 1:16 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.