Triple

T8646316
Position Surface form Disambiguated ID Type / Status
Subject 2017 United Kingdom general election E204985 entity
Predicate snpSeatsWon P31127 FINISHED
Object 35 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: 35 | Statement: [2017 United Kingdom general election, snpSeatsWon, 35]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: snpSeatsWon
Context triple: [2017 United Kingdom general election, snpSeatsWon, 35]
  • A. numberOfSeatsWon chosen
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • B. LabourSeatsWon
    Indicates the number of parliamentary seats won by the Labour Party in an election.
  • C. ppcSeatsWon
    Indicates the number of seats that the PPC has won in an election or legislative body.
  • D. majoritySeats
    Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
  • E. seatsWonByNewDemocraticParty
    Indicates the number of electoral seats that were won by the New Democratic Party in a given election or governing body.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc480eb7f88190a38d2150976cd47f completed March 31, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69cc45619460819091e83ffdec99c865 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:28 p.m.