Triple

T13816066
Position Surface form Disambiguated ID Type / Status
Subject GEN.G TIG E332022 entity
Predicate fullName P16 FINISHED
Object Gen.G Tigers of Shanghai E66031 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: Gen.G Tigers of Shanghai | Statement: [GEN.G TIG, fullName, Gen.G Tigers of Shanghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gen.G Tigers of Shanghai
Context triple: [GEN.G TIG, fullName, Gen.G Tigers of Shanghai]
  • A. Gen.G Tigers of Shanghai chosen
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • B. Gen.G Esports
    Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
  • C. SKT
    SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
  • D. Sunwolves
    The Sunwolves were a professional Japanese rugby union team that competed in the international Super Rugby competition.
  • E. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e6d5cc819087ccdbfc00f16542 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.