Triple

T12305176
Position Surface form Disambiguated ID Type / Status
Subject Plarium (offices) E293333 entity
Predicate ownedBy P347 FINISHED
Object Plarium E293333 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: Plarium | Statement: [Plarium (offices), ownedBy, Plarium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plarium
Context triple: [Plarium (offices), ownedBy, Plarium]
  • A. Plarium (offices) chosen
    Plarium (offices) refers to the corporate facilities of Plarium, a global mobile and online game developer, located in the Israeli city of Herzliya.
  • B. Gameloft
    Gameloft is a French video game developer and publisher best known for creating and distributing mobile games worldwide.
  • C. Playground Games
    Playground Games is a British video game developer best known for creating the Forza Horizon open-world racing series.
  • D. Portkey Games
    Portkey Games is a video game label focused on creating interactive experiences set in the Wizarding World franchise, including titles like Hogwarts Legacy.
  • E. KingsIsle Entertainment
    KingsIsle Entertainment is a video game developer best known for creating the family-friendly online role-playing games Wizard101 and Pirate101.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eedd7a4819082f2049dcfff6401 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:53 p.m.