Triple

T10862263
Position Surface form Disambiguated ID Type / Status
Subject LCS E256434 entity
Predicate game P38975 FINISHED
Object League of Legends E355453 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: League of Legends | Statement: [LCS, game, League of Legends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: League of Legends
Context triple: [LCS, game, League of Legends]
  • A. League of Legends chosen
    League of Legends is a popular multiplayer online battle arena (MOBA) video game developed by Riot Games, known for its competitive esports scene and strategic team-based gameplay.
  • B. LOL
    LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
  • 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. Smite
    Smite is a third-person multiplayer online battle arena (MOBA) game developed by Hi-Rez Studios in which players control mythological gods and deities in team-based combat.
  • E. Dota
    Dota is a rural canton in Costa Rica’s San José Province known for its mountainous landscapes, coffee production, and ecotourism.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515238108190a72eb8cd147f223d completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.