Triple

T16391551
Position Surface form Disambiguated ID Type / Status
Subject UK Parliament 1983–1987 E398063 entity
Predicate majorityPartySeats P20469 FINISHED
Object Conservative majority 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: Conservative majority | Statement: [UK Parliament 1983–1987, majorityPartySeats, Conservative majority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorityPartySeats
Context triple: [UK Parliament 1983–1987, majorityPartySeats, Conservative majority]
  • A. majoritySeatsCongress
    Indicates that a political party or group holds more than half of the seats in a country's congress or legislative body.
  • B. majoritySeats chosen
    Indicates that one party or group holds more than half of the available seats in a governing or decision-making body.
  • C. largestPartySeatCount
    Indicates the number of seats held by the single largest party in a legislative or representative body.
  • D. majorityPartyInHouse
    Indicates that a given political party holds more seats than any other party in a specified legislative house.
  • E. numberOfRepresentatives
    Indicates the quantity of representatives associated with a given entity or unit.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69e226f94dd48190b7b8e0e983738a67 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:08 a.m.