Triple

T2977083
Position Surface form Disambiguated ID Type / Status
Subject NuSTAR E80423 entity
Predicate collaboratingInstitution P4257 FINISHED
Object Danish Technical University E215863 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: Danish Technical University | Statement: [NuSTAR, collaboratingInstitution, Danish Technical University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish Technical University
Context triple: [NuSTAR, collaboratingInstitution, Danish Technical University]
  • A. Technical University of Denmark chosen
    The Technical University of Denmark is a leading Danish engineering and technology university known for its strong research output and industry collaboration.
  • 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 Copenhagen
    The University of Copenhagen is Denmark’s oldest and largest university, renowned internationally for its research-intensive programs and broad range of academic disciplines.
  • D. Norwegian University of Science and Technology
    The Norwegian University of Science and Technology is a major Norwegian public research university renowned for its strengths in science, technology, engineering, and innovation.
  • E. Helsinki University of Technology
    Helsinki University of Technology was a leading Finnish technical university, renowned for its engineering and technology programs and later incorporated into Aalto University.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998c589c8190b4530f3fb8975187 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.