Triple

T2213248
Position Surface form Disambiguated ID Type / Status
Subject University of Cape Town E50964 entity
Predicate abbreviation P43 FINISHED
Object UCT
UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
 E243869 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: UCT | Statement: [University of Cape Town, abbreviation, UCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UCT
Context triple: [University of Cape Town, abbreviation, UCT]
  • A. Uni
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • B. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • C. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • D. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • E. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • 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: UCT
Triple: [University of Cape Town, abbreviation, UCT]
Generated description
UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UCT
Target entity description: UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • A. Uni
    Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
  • B. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • C. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • D. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • E. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfee6ae48190825ca792e8f99946 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6554f3308190a180cac3ad7e2ce4 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae65d419048190ad723d21ab7f1cab completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae666e71908190b50be2cac5bdfa28 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:46 p.m.