Triple

T528474
Position Surface form Disambiguated ID Type / Status
Subject Wizards District Gaming E10975 entity
Predicate hasOfficialAbbreviation P8075 FINISHED
Object WDG E10975 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: WDG | Statement: [Wizards District Gaming, hasOfficialAbbreviation, WDG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WDG
Context triple: [Wizards District Gaming, hasOfficialAbbreviation, WDG]
  • A. WDG chosen
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • B. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • C. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • D. VWAG
    VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
  • E. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • 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_69a4c02df1fc8190bdb1410bd020af62 completed March 1, 2026, 10:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.