Triple

T14336006
Position Surface form Disambiguated ID Type / Status
Subject Team SoloMid E355468 entity
Predicate hasDivisionInGame P75602 FINISHED
Object PUBG Mobile E1063572 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: PUBG Mobile | Statement: [Team SoloMid, hasDivisionInGame, PUBG Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PUBG Mobile
Context triple: [Team SoloMid, hasDivisionInGame, PUBG Mobile]
  • A. PlayerUnknown's Battlegrounds chosen
    PlayerUnknown's Battlegrounds is a popular online battle royale video game in which players fight to be the last person or team standing on a shrinking battlefield.
  • B. Free Fire
    Free Fire is a 2016 British action-comedy film directed by Ben Wheatley, known for its single-location shootout, dark humor, and ensemble cast.
  • C. Moonton
    Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
  • D. EA Mobile
    EA Mobile is the mobile gaming division of Electronic Arts, responsible for developing and publishing games for smartphones and tablets.
  • E. Fortnite
    Fortnite is a massively popular online battle royale and creative-building video game developed by Epic Games, known for its fast-paced matches, frequent content updates, and widespread esports presence.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46986758819088750150ad47bae1 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.