Triple

T1666759
Position Surface form Disambiguated ID Type / Status
Subject University of Pretoria E36029 entity
Predicate alsoKnownAs P39 FINISHED
Object Tuks
Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
 E187971 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: Tuks | Statement: [University of Pretoria, alsoKnownAs, Tuks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuks
Context triple: [University of Pretoria, alsoKnownAs, Tuks]
  • A. Tuka
    Tuka is a surname most notably associated with Vojtech Tuka, a Slovak politician and leading figure of the World War II-era Slovak State.
  • B. Tuka
    Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
  • C. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • D. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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: Tuks
Triple: [University of Pretoria, alsoKnownAs, Tuks]
Generated description
Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuks
Target entity description: Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
  • A. Tuka
    Tuka is a surname most notably associated with Vojtech Tuka, a Slovak politician and leading figure of the World War II-era Slovak State.
  • B. Tuka
    Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
  • C. Mtiuleti
    Mtiuleti is a mountainous historical region in northeastern Georgia known for its rugged landscapes and traditional highland villages.
  • D. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • E. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • 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.