Triple

T6651166
Position Surface form Disambiguated ID Type / Status
Subject The Friendly Games E150823 entity
Predicate emphasizesOverWinning P17512 FINISHED
Object sportsmanship 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: sportsmanship | Statement: [The Friendly Games, emphasizesOverWinning, sportsmanship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesOverWinning
Context triple: [The Friendly Games, emphasizesOverWinning, sportsmanship]
  • A. competitionGoal
    Indicates that one entity’s objective or desired outcome is defined in the context of a competition involving another entity.
  • B. strategyEmphasis chosen
    Indicates an entity’s primary focus or priority within a broader strategy or plan.
  • C. competitiveEffect
    Indicates that one entity’s actions or presence influence another entity’s ability to compete, typically by enhancing or diminishing its competitive position or performance.
  • D. earnsMorePointsThan
    Indicates that one entity receives a greater number of points than another entity in a given context or comparison.
  • E. competitiveDiscipline
    Indicates a relationship where an entity participates in or is associated with a structured, rule-based activity or field in which individuals or groups compete against each other.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6ad04d66c8190926ffcbff372643b completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:01 p.m.