Triple

T1352397
Position Surface form Disambiguated ID Type / Status
Subject Odd Hassel E28910 entity
Predicate educatedAt P5 FINISHED
Object Royal Frederick University E43588 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: Royal Frederick University | Statement: [Odd Hassel, educatedAt, Royal Frederick University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Frederick University
Context triple: [Odd Hassel, educatedAt, Royal Frederick University]
  • A. Royal Frederick University chosen
    Royal Frederick University was the former name of the University of Oslo, Norway’s oldest and most prestigious university.
  • B. Strathmore University
    Strathmore University is a leading private university in Kenya known for its strong programs in business, information technology, and law.
  • C. MacEwan University
    MacEwan University is a public undergraduate-focused university located in downtown Edmonton, Alberta, Canada.
  • D. Franeker University
    Franeker University was an early modern Dutch university in the city of Franeker, Friesland, known as a center of Reformed and humanist scholarship.
  • E. United College
    United College is one of the historic constituent colleges of the University of St Andrews in Scotland, responsible for much of the university’s academic and administrative life.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc63eef908190aef058396f63a5a4 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.