Triple

T1952898
Position Surface form Disambiguated ID Type / Status
Subject Western Union E42198 entity
Predicate tickerSymbol P1447 FINISHED
Object WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
 E219211 NE FINISHED

How this triple was built (4 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, tickerSymbol, WU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WU
Context triple: [Western Union, tickerSymbol, WU]
  • A. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • B. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. WY
    WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
  • E. UUWW
    UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WU
Triple: [Western Union, tickerSymbol, WU]
Generated description
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WU
Target entity description: WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • A. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • B. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. WY
    WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
  • E. UUWW
    UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
  • F. None of above. chosen

Provenance (5 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3501d108190bc5cb23f53db4411 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc611fc8190b2f512c744cbc364 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc8efb0c81908bce5a4a13359801 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd8115d481909716e11b943cbf61 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.