Triple

T3302666
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin Badgers football E69370 entity
Predicate shortName P43 FINISHED
Object UW
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
 E347088 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: UW | Statement: [Wisconsin Badgers football, shortName, UW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UW
Context triple: [Wisconsin Badgers football, shortName, UW]
  • A. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • B. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • C. UAA
    UAA is the stock ticker symbol for Under Armour, an American sportswear and athletic apparel company traded on the New York Stock Exchange.
  • D. UO
    UO is the IATA airline designator used by HK Express, a low-cost carrier based in Hong Kong.
  • E. University of Washington
    The University of Washington is a major public research university in Seattle known for its strong programs in science, engineering, medicine, and public affairs.
  • 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: UW
Triple: [Wisconsin Badgers football, shortName, UW]
Generated description
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UW
Target entity description: UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
  • A. UW
    UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
  • B. UW
    UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
  • C. UAA
    UAA is the stock ticker symbol for Under Armour, an American sportswear and athletic apparel company traded on the New York Stock Exchange.
  • D. UO
    UO is the IATA airline designator used by HK Express, a low-cost carrier based in Hong Kong.
  • E. University of Washington
    The University of Washington is a major public research university in Seattle known for its strong programs in science, engineering, medicine, and public affairs.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a9450481909f0d630e5593085e completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3df7f548190ada47f742df46545 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b3006293248190952c5a53d9afa4e7 completed March 12, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_69b313ddfb1081909719dd584846c6ed completed March 12, 2026, 7:28 p.m.
Created at: March 8, 2026, 3:11 p.m.