Triple

T13597539
Position Surface form Disambiguated ID Type / Status
Subject Special Counsel investigation into Russian interference in the 2016 United States elections E324859 entity
Predicate volume2Focus P31 FINISHED
Object obstruction of justice 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: obstruction of justice | Statement: [Special Counsel investigation into Russian interference in the 2016 United States elections, volume2Focus, obstruction of justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: volume2Focus
Context triple: [Special Counsel investigation into Russian interference in the 2016 United States elections, volume2Focus, obstruction of justice]
  • A. volume
    Indicates the amount of three-dimensional space an entity occupies or contains.
  • B. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • D. focusOf
    Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
  • E. volumeOf
    Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0590558819080ccc5874a650b1e completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae18eaf48190809e8b365856cde9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.