Triple

T2035188
Position Surface form Disambiguated ID Type / Status
Subject Duke-NUS Medical School E44609 entity
Predicate affiliation P10 FINISHED
Object National University of Singapore E50962 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: National University of Singapore | Statement: [Duke-NUS Medical School, affiliation, National University of Singapore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National University of Singapore
Context triple: [Duke-NUS Medical School, affiliation, National University of Singapore]
  • A. National University of Singapore chosen
    The National University of Singapore is a leading global research-intensive university and Singapore’s flagship higher education institution, renowned for its strengths in science, engineering, medicine, and public policy.
  • B. Nanyang Technological University
    Nanyang Technological University is a leading research-intensive public university in Singapore known for its strengths in engineering, technology, and innovation.
  • C. Duke-NUS Medical School
    Duke-NUS Medical School is a graduate medical school in Singapore formed through a collaboration between Duke University and the National University of Singapore, focusing on innovative medical education and research.
  • D. Hong Kong University of Science and Technology
    Hong Kong University of Science and Technology is a leading public research university in Hong Kong known for its strengths in science, engineering, business, and technology innovation.
  • E. Southern University of Science and Technology
    Southern University of Science and Technology is a public research university in Shenzhen, China, known for its strong emphasis on science, engineering, and innovation-driven education and research.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb934ff948190acd88d4f587463a4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff03d3c8190adef0224aac989bd completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.