Triple

T528430
Position Surface form Disambiguated ID Type / Status
Subject NBA 2K League E10974 entity
Predicate hasTeam P330 FINISHED
Object NetsGC E19849 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: NetsGC | Statement: [NBA 2K League, hasTeam, NetsGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NetsGC
Context triple: [NBA 2K League, hasTeam, NetsGC]
  • A. Nets Gaming Crew chosen
    Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
  • B. Canvas Network
    Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
  • C. SGD
    SGD is the official currency code for the Singapore dollar, the national currency of Singapore used in domestic and international transactions.
  • D. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • E. CIFAR
    CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d39b4c81909f265b3501b5ec1d completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d71fa881908c52d2a675b5b7d1 completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.