Triple

T10951633
Position Surface form Disambiguated ID Type / Status
Subject University of Technology, Jamaica E258739 entity
Predicate abbreviation P43 FINISHED
Object UTech E894755 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: UTech | Statement: [University of Technology, Jamaica, abbreviation, UTech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTech
Context triple: [University of Technology, Jamaica, abbreviation, UTech]
  • A. UTech chosen
    UTech is a public university in Jamaica known for its focus on technology, applied sciences, and professional education.
  • B. UNITEC
    UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
  • C. UET
    UET is the IATA airport code for Quetta International Airport, serving the city of Quetta in Pakistan.
  • D. Central University of Technology
    Central University of Technology is a South African university of technology based in Bloemfontein, known for its career-focused programs in engineering, health sciences, and applied sciences.
  • E. Nova University of Advanced Technology
    Nova University of Advanced Technology was the original name of what is now Nova Southeastern University, a private research university based in Florida.
  • 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_69d770fc156c8190826e124c13ce7242 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.