Triple

T2986756
Position Surface form Disambiguated ID Type / Status
Subject Ankara University E80642 entity
Predicate shortName P43 FINISHED
Object AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
 E315529 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: AÜ | Statement: [Ankara University, shortName, AÜ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AÜ
Context triple: [Ankara University, shortName, AÜ]
  • A. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • B. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • C. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • D. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • E. Aua
    Aua is a coastal village on the island of Tutuila in American Samoa, known for its traditional Samoan community and proximity to Pago Pago Harbor.
  • 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: AÜ
Triple: [Ankara University, shortName, AÜ]
Generated description
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AÜ
Target entity description: AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
  • A. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • B. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • C. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • D. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • E. Aua
    Aua is a coastal village on the island of Tutuila in American Samoa, known for its traditional Samoan community and proximity to Pago Pago Harbor.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c88f608190bf734e0b744bf3d1 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108fb46b08190bcbd00e69cf06047 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1098429f0819086767078b9687674 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b109ea926481909c85a9aa28027d41 completed March 11, 2026, 6:21 a.m.
Created at: March 8, 2026, 2:59 p.m.