Triple

T9810735
Position Surface form Disambiguated ID Type / Status
Subject 2019 United Kingdom general election E238262 entity
Predicate campaignSloganLiberalDemocrats P7699 FINISHED
Object Stop Brexit 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: Stop Brexit | Statement: [2019 United Kingdom general election, campaignSloganLiberalDemocrats, Stop Brexit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: campaignSloganLiberalDemocrats
Context triple: [2019 United Kingdom general election, campaignSloganLiberalDemocrats, Stop Brexit]
  • A. campaignSloganProponents
    Indicates that certain entities advocate for, support, or promote a particular campaign slogan.
  • B. electoralSlogan chosen
    Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
  • C. includesLiberalParty
    Indicates that a given entity contains, involves, or counts the Liberal Party as one of its members, components, or participants.
  • D. LiberalSeatsWon
    Indicates the number of parliamentary or legislative seats won by the Liberal party in an election.
  • E. campaignSloganOfWinner
    Indicates that a given slogan is the official campaign slogan used by the candidate who won a particular election.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2214a7c8190b516acf64e2b85db completed April 2, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69cd03dd2da881909052fbf29736a773 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:30 p.m.