Triple

T7758809
Position Surface form Disambiguated ID Type / Status
Subject Adam Oehlenschläger E175964 entity
Predicate educatedAt P5 FINISHED
Object University of Copenhagen E54039 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: University of Copenhagen | Statement: [Adam Oehlenschläger, educatedAt, University of Copenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Copenhagen
Context triple: [Adam Oehlenschläger, educatedAt, University of Copenhagen]
  • A. University of Copenhagen chosen
    The University of Copenhagen is Denmark’s oldest and largest university, renowned internationally for its research-intensive programs and broad range of academic disciplines.
  • B. Aarhus University
    Aarhus University is a major Danish public research university recognized for its strong international profile and membership in leading European academic networks.
  • C. University of Southern Denmark
    The University of Southern Denmark is a major Danish public research university with multiple campuses, known for its strong international orientation and broad range of academic programs.
  • D. University of Oslo
    The University of Oslo is Norway’s oldest and largest university, renowned for its research and education across a wide range of academic disciplines.
  • E. Technical University of Denmark
    The Technical University of Denmark is a leading Danish engineering and technology university known for its strong research output and industry collaboration.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703de43d08190ac28bc17cd3e5ffa completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7cf538c8190aa86c27fff42efb0 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:09 p.m.