Triple

T3565761
Position Surface form Disambiguated ID Type / Status
Subject University of Manchester E75443 entity
Predicate abbreviation P43 FINISHED
Object UoM E158295 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: UoM | Statement: [University of Manchester, abbreviation, UoM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UoM
Context triple: [University of Manchester, abbreviation, UoM]
  • A. UoM chosen
    UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
  • B. UoS
    UoS is a leading British research-intensive university known for its strengths in engineering, oceanography, and computer science.
  • C. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • D. UoH
    UoH is a premier Indian public research university located in Hyderabad, known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • E. UoK
    UoK is the commonly used abbreviation for the University of Khartoum, a leading public university in Sudan.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a8f6288190928479f5bea32245 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbacbb1081908fc57168a8fc3ade completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.