Triple

T35857576
Position Surface form Disambiguated ID Type / Status
Subject United Democratic Alliance E1036550 entity
Predicate campaignTool P52411 FINISHED
Object wheelbarrow symbol 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: wheelbarrow symbol | Statement: [United Democratic Alliance, campaignTool, wheelbarrow symbol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: campaignTool
Context triple: [United Democratic Alliance, campaignTool, wheelbarrow symbol]
  • A. campaignUse chosen
    Indicates that one entity employs or leverages another as part of a campaign or organized promotional effort.
  • B. campaignExample
    Indicates that one entity serves as an illustrative or representative example of a particular campaign associated with another entity.
  • C. campaignConnection
    Indicates a relationship where two entities are linked through participation in, association with, or influence within the same campaign or related campaigns.
  • D. campaignManager
    Indicates that one entity serves as the manager or coordinator responsible for planning, executing, and overseeing a campaign on behalf of another entity.
  • E. campaignOrService
    Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
  • 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_69f76e1b4aa481909630373171eb5ec6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.