Triple

T17229148
Position Surface form Disambiguated ID Type / Status
Subject Why the Worst Get on Top E418197 entity
Predicate argumentAbout P49860 FINISHED
Object selection mechanisms in political systems 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: selection mechanisms in political systems | Statement: [Why the Worst Get on Top, argumentAbout, selection mechanisms in political systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: argumentAbout
Context triple: [Why the Worst Get on Top, argumentAbout, selection mechanisms in political systems]
  • A. arguesThat
    Indicates that one entity presents reasons or justification in support of a specific claim, position, or proposition held about another entity or topic.
  • B. argumentOf
    Indicates that one entity functions as an argument (participant or operand) in relation to another entity, such as a predicate, event, or expression.
  • C. usedInArgumentAbout
    Indicates that something (such as a statement, example, or piece of evidence) is employed as part of the reasoning or support within a particular argument or debate.
  • D. partOfDebate chosen
    Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
  • E. usedInArgumentAgainst
    Indicates that something (such as a statement, example, or piece of evidence) is employed as support within an argument opposing or criticizing a particular claim, position, or entity.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df55e788190b442ffd4fac768c9 completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3832553ac819091aa917c84f755b6 completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:39 a.m.