Triple

T10953227
Position Surface form Disambiguated ID Type / Status
Subject UofK E258774 entity
Predicate knownAs P39 FINISHED
Object UoK E258775 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: UoK | Statement: [UofK, knownAs, UoK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UoK
Context triple: [UofK, knownAs, UoK]
  • A. UoK chosen
    UoK is the commonly used abbreviation for the University of Khartoum, a leading public university in Sudan.
  • B. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • C. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • D. UoP
    UoP is the former abbreviation for Savitribai Phule Pune University, a major public state university located in Pune, Maharashtra, India.
  • E. UoM
    UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c64089c8190a9c0aa63d7e7dc64 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.