Triple

T9601233
Position Surface form Disambiguated ID Type / Status
Subject Games of the XXVII Olympiad E231854 entity
Predicate countryCode P208 FINISHED
Object AUS
AUS is the three-letter country code for Australia, the host nation of the 2000 Summer Olympics in Sydney.
 E808336 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: AUS | Statement: [Games of the XXVII Olympiad, countryCode, AUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUS
Context triple: [Games of the XXVII Olympiad, countryCode, AUS]
  • A. AUS
    AUS is the three-letter IATA airport code for Austin–Bergstrom International Airport, the primary commercial airport serving Austin, Texas.
  • B. AUS
    AUS is the governing body for university-level varsity sports in Atlantic Canada, organizing intercollegiate athletic competitions among its member institutions.
  • C. AU
    AU is the commonly used abbreviation for the African Union, a continental organization that promotes political and economic cooperation among African states.
  • D. AU
    Aarhus University (AU) is a major public research university in Aarhus, Denmark, known for its broad range of academic programs and strong international profile.
  • E. AU
    AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
  • 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: AUS
Triple: [Games of the XXVII Olympiad, countryCode, AUS]
Generated description
AUS is the three-letter country code for Australia, the host nation of the 2000 Summer Olympics in Sydney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUS
Target entity description: AUS is the three-letter country code for Australia, the host nation of the 2000 Summer Olympics in Sydney.
  • A. AUS
    AUS is the three-letter IATA airport code for Austin–Bergstrom International Airport, the primary commercial airport serving Austin, Texas.
  • B. AUS
    AUS is the governing body for university-level varsity sports in Atlantic Canada, organizing intercollegiate athletic competitions among its member institutions.
  • C. AU
    AU is the commonly used abbreviation for the African Union, a continental organization that promotes political and economic cooperation among African states.
  • D. AU
    Aarhus University (AU) is a major public research university in Aarhus, Denmark, known for its broad range of academic programs and strong international profile.
  • E. AU
    AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3a49608190ad1f65195e4d5cda completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161a993c48190974bc787fafbe793 completed April 4, 2026, 7:08 p.m.
NEDg Description generation batch_69d1626fa5fc819096d49d81e0039a2f completed April 4, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69d16311f5308190b3413102571d3b4b completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 8:07 p.m.