Triple

T1666758
Position Surface form Disambiguated ID Type / Status
Subject University of Pretoria E36029 entity
Predicate alsoKnownAs P39 FINISHED
Object UP
UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
 E187970 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: UP | Statement: [University of Pretoria, alsoKnownAs, UP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UP
Context triple: [University of Pretoria, alsoKnownAs, UP]
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. Up
    Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
  • C. UP-W
    UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
  • D. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • E. UP 200
    UP 200 is a prominent mid-distance sled dog race held annually in Michigan’s Upper Peninsula, attracting mushers and teams from across North America.
  • 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: UP
Triple: [University of Pretoria, alsoKnownAs, UP]
Generated description
UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UP
Target entity description: UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. Up
    Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
  • C. UP-W
    UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
  • D. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • E. UP 200
    UP 200 is a prominent mid-distance sled dog race held annually in Michigan’s Upper Peninsula, attracting mushers and teams from across North America.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adc57cc8190b270004c363768e3 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683207b08190a86c266aaece4e98 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad692a4078819080c3a89166917081 completed March 8, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ad698929f88190af97fc915d29a5b5 completed March 8, 2026, 12:20 p.m.
Created at: March 4, 2026, 7:29 p.m.