Triple

T9748645
Position Surface form Disambiguated ID Type / Status
Subject 1996 Ugandan presidential election E236379 entity
Predicate incumbentPoliticalPlatform P85572 FINISHED
Object Movement system 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: Movement system | Statement: [1996 Ugandan presidential election, incumbentPoliticalPlatform, Movement system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: incumbentPoliticalPlatform
Context triple: [1996 Ugandan presidential election, incumbentPoliticalPlatform, Movement system]
  • A. electoralSlogan
    Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
  • B. politicalProgramIncludes
    Indicates that a political program contains, encompasses, or explicitly incorporates a particular policy, measure, or component.
  • C. incumbentGovernmentDuringCampaign chosen
    Indicates that a particular government is the one holding office during the period of an election campaign.
  • D. incumbentOpponent
    Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
  • E. incumbent
    Indicates that an entity currently holds a particular position, office, or role at the present time.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69cd03cc128c81908b84ef224f858b4e completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:23 p.m.