Triple

T24529631
Position Surface form Disambiguated ID Type / Status
Subject 2012 United States Senate election in Nebraska E606766 entity
Predicate resultingPartyChange P44678 FINISHED
Object Democratic to Republican 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: Democratic to Republican | Statement: [2012 United States Senate election in Nebraska, resultingPartyChange, Democratic to Republican]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultingPartyChange
Context triple: [2012 United States Senate election in Nebraska, resultingPartyChange, Democratic to Republican]
  • A. resultedInPartyChange chosen
    Indicates that one event or action caused a change in the political party affiliation of an entity.
  • B. replacedParty
    Indicates that one entity has been substituted for or taken the place of another entity in a given role, position, or context.
  • C. winningPartySeatChange
    Indicates the change in the number of seats held by the winning party compared to a previous election or reference point.
  • D. hasSeenPartyChange
    Indicates that an entity has observed or experienced a change in the political party affiliation of another entity or group.
  • E. changesDefendant
    Indicates that one legal party or document alters, replaces, or reassigns the defendant in a legal action or proceeding.
  • 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_69e2c4c90c848190b23c4303620dcaaf completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:25 a.m.