Triple

T9136255
Position Surface form Disambiguated ID Type / Status
Subject Western Union Company E219211 entity
Predicate hasAbbreviation P43 FINISHED
Object WU E219211 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: WU | Statement: [Western Union Company, hasAbbreviation, WU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WU
Context triple: [Western Union Company, hasAbbreviation, WU]
  • A. WU chosen
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • B. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • C.
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • D. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • E. WUN
    WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8df68108190bb2df0583c5ad481 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05452acb481909fcf5f826caa6ae6 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.