Triple

T14993638
Position Surface form Disambiguated ID Type / Status
Subject 2018 United States House of Representatives elections E373900 entity
Predicate netSeatChangeForRepublicanParty P116268 FINISHED
Object -41 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: -41 | Statement: [2018 United States House of Representatives elections, netSeatChangeForRepublicanParty, -41]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: netSeatChangeForRepublicanParty
Context triple: [2018 United States House of Representatives elections, netSeatChangeForRepublicanParty, -41]
  • A. winningPartySeatChange
    Indicates the change in the number of seats held by the winning party compared to a previous election or reference point.
  • B. DemocraticSeatChange
    Indicates the change in the number of seats held by the Democratic Party between two specified electoral outcomes or time points.
  • C. ConservativeSeatChange
    Indicates the change in the number of seats held by the Conservative party between two electoral periods.
  • D. republicanParty
    Indicates that an entity is affiliated with, belongs to, or is a member/supporter of the Republican Party.
  • E. LabourSeatChange
    Indicates a change in the number of parliamentary seats held by the Labour Party between two electoral outcomes.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
PDg Predicate description generation batch_69deb1a88d588190996afa8e5b32b552 completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 2:53 a.m.