Triple

T23368255
Position Surface form Disambiguated ID Type / Status
Subject University of Yaoundé II E593384 entity
Predicate shortName P43 FINISHED
Object UY II
UY II is a public university in Cameroon known for its focus on law, political science, and social sciences.
E1582737 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: UY II | Statement: [University of Yaoundé II, shortName, UY II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UY II
Context triple: [University of Yaoundé II, shortName, UY II]
  • A. Yu
    Yu was the personal name of Emperor Daizong, a ruler of China's Tang dynasty in the 8th century.
  • B. Yu
    Yu is a common Chinese surname shared by many individuals across the world.
  • C. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • D. UYN
    UYN was a former version of Uruguay’s national currency unit that was later superseded by the modern Uruguayan peso.
  • E. Yar
    Yar is a Neanderthal father and tribal leader in the animated film "Dinosaur" (2000), known for his protective and sometimes gruff demeanor toward his family and adopted son Aladar.
  • 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: UY II
Triple: [University of Yaoundé II, shortName, UY II]
Generated description
UY II is a public university in Cameroon known for its focus on law, political science, and social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UY II
Target entity description: UY II is a public university in Cameroon known for its focus on law, political science, and social sciences.
  • A. Yu
    Yu was the personal name of Emperor Daizong, a ruler of China's Tang dynasty in the 8th century.
  • B. Yu
    Yu is a common Chinese surname shared by many individuals across the world.
  • C. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • D. UYN
    UYN was a former version of Uruguay’s national currency unit that was later superseded by the modern Uruguayan peso.
  • E. Yar
    Yar is a Neanderthal father and tribal leader in the animated film "Dinosaur" (2000), known for his protective and sometimes gruff demeanor toward his family and adopted son Aladar.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5ddbd8688190ba51358f22b8fb43 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f90146c8190b5035747abcfdb6e completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c601b5d288190b5cf4f3e0c8cde15 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:32 p.m.