Triple

T22116165
Position Surface form Disambiguated ID Type / Status
Subject Welkom Campus E546547 entity
Predicate abbreviationOfParent P7408 FINISHED
Object CUT 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: CUT | Statement: [Welkom Campus, abbreviationOfParent, CUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CUT
Context triple: [Welkom Campus, abbreviationOfParent, CUT]
  • A. CUT
    CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
  • B. CUT
    CUT is the commonly used acronym for the Central University of Technology, a higher education institution in South Africa.
  • C. CUT chosen
    CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
  • D. CUT
    CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
  • E. Cut
    "Cut" is a song by the American indie rock band Low from their debut album "I Could Live in Hope."
  • 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.