Triple

T11704865
Position Surface form Disambiguated ID Type / Status
Subject Creeping Winter E278211 entity
Predicate contentRatingSystem P13624 FINISHED
Object PEGI E839021 NE 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: PEGI | Statement: [Creeping Winter, contentRatingSystem, PEGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEGI
Context triple: [Creeping Winter, contentRatingSystem, PEGI]
  • A. PEGI chosen
    PEGI is a European video game content rating system that classifies games by age suitability and content descriptors to inform consumers and protect minors.
  • B. ESRB
    ESRB is the European Union’s macroprudential oversight body responsible for monitoring and assessing systemic risks to the stability of the EU financial system.
  • C. ESRB
    The ESRB (Entertainment Software Rating Board) is a North American organization that assigns age and content ratings to video games and other interactive media.
  • D. PEGI 3
    PEGI 3 is a Pan-European Game Information age rating indicating that a game is suitable for all age groups, including young children.
  • E. CERO
    CERO is Japan’s official video game content rating organization that classifies games by age suitability and content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.