Triple

T2608537
Position Surface form Disambiguated ID Type / Status
Subject October 1974 United Kingdom general election E58718 entity
Predicate seatsForElection P11588 FINISHED
Object 635 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: 635 | Statement: [October 1974 United Kingdom general election, seatsForElection, 635]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatsForElection
Context triple: [October 1974 United Kingdom general election, seatsForElection, 635]
  • A. numberOfSeatsWon
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • B. hasSeatsForConstituency
    Indicates that a governing body or institution allocates or provides a certain number of representative seats for a specific constituency.
  • C. legislativeAssemblySeats
    Indicates the number of seats an entity holds or is allocated in a legislative assembly.
  • D. votingSystemLokSabha
    Indicates the type or method of voting system used for elections to the Lok Sabha.
  • E. numberOfSeatsContested chosen
    Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
PD Predicate disambiguation batch_69abd80ab7248190ba06ba14fe4c5638 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:49 p.m.