Triple

T34983884
Position Surface form Disambiguated ID Type / Status
Subject United States Senate from Arizona E1008888 entity
Predicate notableRecentShift P13888 FINISHED
Object increased competitiveness in the 21st century 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: increased competitiveness in the 21st century | Statement: [United States Senate from Arizona, notableRecentShift, increased competitiveness in the 21st century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableRecentShift
Context triple: [United States Senate from Arizona, notableRecentShift, increased competitiveness in the 21st century]
  • A. notableChange chosen
    Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
  • B. notableTurnover
    Indicates that an entity has experienced a significant change in its members, staff, or participants over a given period.
  • C. notableDeparture
    Indicates that an entity has left a position, place, or role in a way that is significant or noteworthy.
  • D. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • E. notableDisplacement
    Indicates a significant change in an entity’s usual position, location, or alignment relative to a reference point or state.
  • 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379ff1ba081908eda86acefcf69fb completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.