Triple

T4088053
Position Surface form Disambiguated ID Type / Status
Subject UoY E87635 entity
Predicate hasCollege P113 FINISHED
Object David Kato College E89321 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: David Kato College | Statement: [UoY, hasCollege, David Kato College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Kato College
Context triple: [UoY, hasCollege, David Kato College]
  • A. David Kato College chosen
    David Kato College is a modern residential college of the University of York named in honor of Ugandan LGBTQ+ rights activist David Kato.
  • B. Arturo Velasquez Institute
    Arturo Velasquez Institute is a workforce training and education center in Chicago that offers career-focused programs and technical courses as part of the City Colleges of Chicago system.
  • C. Kateri School
    Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
  • D. Kadoorie Agricultural High School
    Kadoorie Agricultural High School is a historic Israeli boarding school and agricultural training institution that educated many early leaders of the country.
  • E. Bosung College
    Bosung College was a historic private educational institution in Korea that later evolved into the modern Korea 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefca899008190b5ada98bdb79639f completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6335c4819093538f261a5093b3 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:39 p.m.