Triple

T23209052
Position Surface form Disambiguated ID Type / Status
Subject Department of Computer Science and Engineering, BUET E580540 entity
Predicate shortName P43 FINISHED
Object CSE, BUET 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: CSE, BUET | Statement: [Department of Computer Science and Engineering, BUET, shortName, CSE, BUET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSE, BUET
Context triple: [Department of Computer Science and Engineering, BUET, shortName, CSE, BUET]
  • A. CSE Division
    CSE Division is the Computer Science and Engineering Division at the University of Michigan, responsible for education and research in computing and related fields.
  • B. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • C. CSE
    CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
  • D. CSE chosen
    CSE is the abbreviated name commonly used for the Department of Computer Science and Software Engineering.
  • E. CSE
    CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907ea2b08190b97c146a4b22d293 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.