Triple

T18972760
Position Surface form Disambiguated ID Type / Status
Subject AUT Business School E464211 entity
Predicate acronym P43 FINISHED
Object AUT 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: AUT | Statement: [AUT Business School, acronym, AUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AUT
Context triple: [AUT Business School, acronym, AUT]
  • A. AUT chosen
    AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
  • B. AUT
    AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
  • C. Aut
    Aut is a small town in the Mandi district of Himachal Pradesh, India, known as a gateway stop along the route to Kullu and Manali.
  • D. Ath
    Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
  • E. ATO
    ATO is Australia’s principal revenue collection agency responsible for administering the federal tax system and related superannuation laws.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61cb3ac8190bfe29104166fa090 completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon