Triple

T13552155
Position Surface form Disambiguated ID Type / Status
Subject Aarhus University E323675 entity
Predicate abbreviation P43 FINISHED
Object AU E323675 NE FINISHED

How this triple was built (2 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: [Aarhus University, abbreviation, AU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AU
Context triple: [Aarhus University, abbreviation, AU]
  • A. AU chosen
    Aarhus University (AU) is a major public research university in Aarhus, Denmark, known for its broad range of academic programs and strong international profile.
  • B. AU
    AU is a German vehicle registration code used on license plates to identify cars registered in the Erzgebirgskreis district of Saxony.
  • C. AU
    AU is the Exeter University Athletic Union, the organization that oversees and supports student sports clubs and athletic activities at the University of Exeter.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.