Triple

T38581973
Position Surface form Disambiguated ID Type / Status
Subject Control (Call of Duty game mode) E932265 entity
Predicate balanceFocus P9277 FINISHED
Object fair attack and defense opportunities 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: fair attack and defense opportunities | Statement: [Control (Call of Duty game mode), balanceFocus, fair attack and defense opportunities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: balanceFocus
Context triple: [Control (Call of Duty game mode), balanceFocus, fair attack and defense opportunities]
  • A. aimsToBalance chosen
    Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
  • B. focusMode
    Indicates that an entity is currently in a concentrated or distraction-minimized state directed toward a specific task, target, or context.
  • C. balanceControl
    Indicates the extent to which one entity regulates, maintains, or stabilizes the equilibrium or proportional distribution of another entity or system.
  • D. balanceRole
    Indicates a relationship where an entity holds or performs a specific role in maintaining or managing balance within a system or context.
  • E. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • 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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.