Triple

T22116123
Position Surface form Disambiguated ID Type / Status
Subject Central University of Technology E546546 entity
Predicate campus P269 FINISHED
Object Welkom campus NE NERFINISHED

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: Welkom campus | Statement: [Central University of Technology, campus, Welkom campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welkom campus
Context triple: [Central University of Technology, campus, Welkom campus]
  • A. Welkom Campus chosen
    Welkom Campus is a satellite campus of the Central University of Technology located in Welkom, South Africa, offering a range of vocationally oriented higher education programs.
  • B. Welkom
    Welkom is a South African city in the Free State province known historically for its gold mining industry and planned urban layout.
  • C. Wilda campus
    Wilda campus is one of the urban campuses of Poznań University of Technology, located in the Wilda district of Poznań, Poland.
  • D. The Campus
    The Campus is the colloquial English name for HaKirya, the central Israel Defense Forces headquarters complex in Tel Aviv.
  • E. Kassai út campus
    Kassai út campus is a major campus of the University of Debrecen in Hungary, housing several faculties and modern educational facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294dc1148190b95ff00f475a6713 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.