Triple

T14335343
Position Surface form Disambiguated ID Type / Status
Subject Counter-Strike: Global Offensive E355454 entity
Predicate previousMonetizationModel P94216 FINISHED
Object paid game (before 2018) 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: paid game (before 2018) | Statement: [Counter-Strike: Global Offensive, previousMonetizationModel, paid game (before 2018)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousMonetizationModel
Context triple: [Counter-Strike: Global Offensive, previousMonetizationModel, paid game (before 2018)]
  • A. hasMonetizationFocus
    Indicates that one entity is oriented toward or primarily concerned with generating revenue or financial returns from another entity or activity.
  • B. supportsMonetizationProgram
    Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
  • C. fundingModel
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • D. payPerView
    Indicates a relationship where access to specific content or an event is granted only upon a one-time payment for that individual viewing.
  • E. usesRevenueModel chosen
    Indicates that one entity applies or operates according to a particular revenue model to generate income.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:14 a.m.