Triple

T23222734
Position Surface form Disambiguated ID Type / Status
Subject Yangzhou University E580935 entity
Predicate hasAbbreviation P43 FINISHED
Object YZU
YZU is the commonly used abbreviation for Yangzhou University, a comprehensive higher education institution located in Yangzhou, Jiangsu Province, China.
 E1572719 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: YZU | Statement: [Yangzhou University, hasAbbreviation, YZU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YZU
Context triple: [Yangzhou University, hasAbbreviation, YZU]
  • A. YZS
    YZS is the IATA airport code for Coral Harbour Airport, which serves the community of Coral Harbour in Nunavut, Canada.
  • B. YZT
    YZT is the IATA airport code for Port Hardy Airport, which serves the town of Port Hardy on the northern tip of Vancouver Island in British Columbia, Canada.
  • C. YZH
    YZH is the IATA airport code for Slave Lake Airport in Alberta, Canada.
  • D. YZR
    YZR is the IATA airport code for Sarnia Chris Hadfield Airport in Ontario, Canada.
  • E. Yz
    Yz is a magical thunderbolt-summoning entity from DC Comics that empowers the superhero Johnny Thunder.
  • 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: YZU
Triple: [Yangzhou University, hasAbbreviation, YZU]
Generated description
YZU is the commonly used abbreviation for Yangzhou University, a comprehensive higher education institution located in Yangzhou, Jiangsu Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YZU
Target entity description: YZU is the commonly used abbreviation for Yangzhou University, a comprehensive higher education institution located in Yangzhou, Jiangsu Province, China.
  • A. YZS
    YZS is the IATA airport code for Coral Harbour Airport, which serves the community of Coral Harbour in Nunavut, Canada.
  • B. YZT
    YZT is the IATA airport code for Port Hardy Airport, which serves the town of Port Hardy on the northern tip of Vancouver Island in British Columbia, Canada.
  • C. YZH
    YZH is the IATA airport code for Slave Lake Airport in Alberta, Canada.
  • D. YZR
    YZR is the IATA airport code for Sarnia Chris Hadfield Airport in Ontario, Canada.
  • E. Yz
    Yz is a magical thunderbolt-summoning entity from DC Comics that empowers the superhero Johnny Thunder.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922a452c81909b48df157643f6bd completed April 29, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ce65b48190a621f67a75b84fea completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31b2a8cc81908bc31ce4bdccdd71 completed May 19, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3245c9808190ab5212a14aa2e42e completed May 19, 2026, 9:49 a.m.
Created at: April 17, 2026, 4:08 p.m.