Triple

T21390048
Position Surface form Disambiguated ID Type / Status
Subject Akita University E527618 entity
Predicate hasAbbreviation P43 FINISHED
Object AU
AU is the standard abbreviation for Akita University, a national higher education institution located in Akita Prefecture, Japan.
 E1480758 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: AU | Statement: [Akita University, hasAbbreviation, AU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AU
Context triple: [Akita University, hasAbbreviation, AU]
  • A. AU
    AU is the commonly used abbreviation for the African Union, a continental organization that promotes political and economic cooperation among African states.
  • B. 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.
  • C. AU
    AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
  • D. AU
    AU is a German vehicle registration code used on license plates to identify cars registered in the Erzgebirgskreis district of Saxony.
  • E. AU
    AU is the ISO 3166-1 alpha-2 country code for Australia, a large island nation and continent in the Southern Hemisphere.
  • 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: AU
Triple: [Akita University, hasAbbreviation, AU]
Generated description
AU is the standard abbreviation for Akita University, a national higher education institution located in Akita Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AU
Target entity description: AU is the standard abbreviation for Akita University, a national higher education institution located in Akita Prefecture, Japan.
  • A. AU
    AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
  • B. AU
    AU is the commonly used abbreviation for Ankara University, a major public research university located in Turkey’s capital city.
  • 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
    AU is the commonly used abbreviation for Allen University, a historically Black university located in Columbia, South Carolina.
  • E. AU
    AU is the ISO 3166-1 alpha-2 country code for Australia, a large island nation and continent in the Southern Hemisphere.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f8ae288190b43df9fe2841a822 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b42a4fa88190a167206cedb206ab completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b4bd826c8190968bc43f22a5a290 completed May 17, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09b543ce9881909073c30b7749757b completed May 17, 2026, 12:32 p.m.
Created at: April 16, 2026, 5:13 p.m.