Triple

T22979203
Position Surface form Disambiguated ID Type / Status
Subject WU Library and Learning Center E571412 entity
Predicate shortName P43 FINISHED
Object WU LC NE NERFINISHED

How this triple was built (3 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 LC | Statement: [WU Library and Learning Center, shortName, WU LC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WU LC
Context triple: [WU Library and Learning Center, shortName, WU LC]
  • A. WU
    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. WLC
    WLC is the National Rail station code for Walthamstow Central railway station in London, England.
  • E. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WU LC
Target entity description: WU LC is the main library and learning facility of WU (Vienna University of Economics and Business), known for its modern architecture and comprehensive academic resources.
  • A. WU chosen
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • B. WU
    WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
  • C.
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • D. WLC
    WLC is the National Rail station code for Walthamstow Central railway station in London, England.
  • E. WUH
    WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
  • F. None of above.

Provenance (2 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18293f830819095cca91af7abd742 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.