Triple

T13251086
Position Surface form Disambiguated ID Type / Status
Subject Ankara University E315529 entity
Predicate hasAbbreviation P43 FINISHED
Object AU
AU is the commonly used abbreviation for Ankara University, a major public research university located in Turkey’s capital city.
 E1028576 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: [Ankara University, hasAbbreviation, AU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AU
Context triple: [Ankara 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: [Ankara University, hasAbbreviation, AU]
Generated description
AU is the commonly used abbreviation for Ankara University, a major public research university located in Turkey’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AU
Target entity description: AU is the commonly used abbreviation for Ankara University, a major public research university located in Turkey’s capital city.
  • 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 the African Union, a continental organization that promotes political and economic cooperation among African states.
  • C. 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.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff393898819083bdf726466fcbe0 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7013b3428819083c2bb6032aa08d4 completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f702b40f088190bc3c24321309dfb1 completed May 3, 2026, 8:09 a.m.
Created at: April 9, 2026, 9:24 p.m.