Triple

T1107355
Position Surface form Disambiguated ID Type / Status
Subject 2019 Canadian federal election E25515 entity
Predicate seatsWonByIndependentCandidates P23398 FINISHED
Object 1 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: 1 | Statement: [2019 Canadian federal election, seatsWonByIndependentCandidates, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatsWonByIndependentCandidates
Context triple: [2019 Canadian federal election, seatsWonByIndependentCandidates, 1]
  • A. numberOfSeatsContested
    Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
  • B. electedSeparatelyFrom
    Indicates that the entities involved are chosen through distinct, independent election processes rather than on the same ticket or ballot.
  • C. isIndependent
    Indicates that an entity exists, functions, or operates without being controlled, influenced, or determined by another entity.
  • D. LabourSeatsWon
    Indicates the number of parliamentary seats won by the Labour Party in an election.
  • E. numberOfAtLargeSeats
    Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an entity.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b749e2a881909ef28745a7d2d917 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7bd3d50819091e6f1d2ffe4c7ee completed March 1, 2026, 10:03 p.m.
Created at: March 1, 2026, 7:43 p.m.