Triple

T4708791
Position Surface form Disambiguated ID Type / Status
Subject Auckland University of Technology E104457 entity
Predicate abbreviation P43 FINISHED
Object AUT
AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
 E464205 NE FINISHED

How this triple was built (4 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: [Auckland University of Technology, abbreviation, AUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUT
Context triple: [Auckland University of Technology, abbreviation, AUT]
  • A. AUT
    AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
  • B. Ath
    Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
  • C. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • D. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • E. TA
    TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AUT
Triple: [Auckland University of Technology, abbreviation, AUT]
Generated description
AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUT
Target entity description: AUT is a major New Zealand university based in Auckland, known for its focus on applied research, innovation, and industry-aligned education.
  • A. AUT
    AUT is a leading Iranian engineering and technology university, widely recognized for its strong research output and rigorous academic programs.
  • B. Ath
    Ath is a historic fortified town in the Wallonia region of Belgium, known for its medieval architecture and traditional annual festivals.
  • C. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • D. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • E. TA
    TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
  • F. None of above. chosen

Provenance (5 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ed2ed081908cd52570ba085806 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10721b88819093be46bc5cae17c0 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be1452eba88190bf982ab0f464e96f completed March 21, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69be14ca370481909c5e144e63ceb495 completed March 21, 2026, 3:47 a.m.
Created at: March 20, 2026, 1:17 p.m.