Triple

T2669059
Position Surface form Disambiguated ID Type / Status
Subject United States presidential election, 1964 E55705 entity
Predicate markedTrend P5318 FINISHED
Object shift of many white Southern voters toward the Republican Party 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: shift of many white Southern voters toward the Republican Party | Statement: [United States presidential election, 1964, markedTrend, shift of many white Southern voters toward the Republican Party]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: markedTrend
Context triple: [United States presidential election, 1964, markedTrend, shift of many white Southern voters toward the Republican Party]
  • A. hasTrend chosen
    Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
  • B. marksShiftToward
    Indicates a change or transition from one state, condition, or position toward another, highlighting the direction or trend of that shift.
  • C. markType
    Indicates the specific category or kind of mark associated with or applied to an entity.
  • D. trends
    Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
  • E. marksOn
    Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98bacf48190b5633f1a3ec8f0cf completed March 7, 2026, 7:53 a.m.
PD Predicate disambiguation batch_69abd8190ad481908f3e14ac84d0940a completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.