Triple

T2722582
Position Surface form Disambiguated ID Type / Status
Subject University of Technology Sydney E60114 entity
Predicate abbreviation P43 FINISHED
Object UTS
UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
 E292256 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: UTS | Statement: [University of Technology Sydney, abbreviation, UTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UTS
Context triple: [University of Technology Sydney, abbreviation, UTS]
  • A. UTS #10
    UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
  • B. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • C. UoS
    UoS is a leading British research-intensive university known for its strengths in engineering, oceanography, and computer science.
  • D. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • E. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • 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: UTS
Triple: [University of Technology Sydney, abbreviation, UTS]
Generated description
UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UTS
Target entity description: UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
  • A. UTS #10
    UTS #10 is the Unicode Collation Algorithm standard that defines how to consistently compare and sort Unicode text across different languages and platforms.
  • B. VUT
    VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
  • C. UoS
    UoS is a leading British research-intensive university known for its strengths in engineering, oceanography, and computer science.
  • D. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • E. UCT
    UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab2f36c8190aa0b452e57525fe0 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6939a50819087ac2c55337ceae3 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb74d9f4c8190b6b3f568babfb7b5 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c2b9d08190bce599c364d809b7 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.