Triple

T9928065
Position Surface form Disambiguated ID Type / Status
Subject Tukkies E187972 entity
Predicate associatedWithStudentLife P29527 FINISHED
Object Tuks Rag E187971 NE FINISHED

How this triple was built (2 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 Rag | Statement: [Tukkies, associatedWithStudentLife, Tuks Rag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuks Rag
Context triple: [Tukkies, associatedWithStudentLife, Tuks Rag]
  • A. Tuks chosen
    Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
  • B. Bothasig
    Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
  • C. Ruimsig
    Ruimsig is a suburban residential area in Roodepoort, west of Johannesburg, known for its golf course, botanical gardens, and family-oriented lifestyle.
  • D. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d38c6748190a1c28c97f2a84f37 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:43 p.m.