Triple

T772928
Position Surface form Disambiguated ID Type / Status
Subject Augsburger Panther E16320 entity
Predicate shortName P43 FINISHED
Object AEV
AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
 E91050 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: AEV | Statement: [Augsburger Panther, shortName, AEV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AEV
Context triple: [Augsburger Panther, shortName, AEV]
  • A. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AEF
    AEF was the common abbreviation for French Equatorial Africa, a former federation of French colonial territories in central Africa.
  • D. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • E. NEVS
    NEVS is a Swedish electric vehicle manufacturer that emerged from the acquisition of Saab Automobile’s assets, focusing on sustainable mobility solutions.
  • 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: AEV
Triple: [Augsburger Panther, shortName, AEV]
Generated description
AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AEV
Target entity description: AEV is the common abbreviation for Augsburger Panther, a professional ice hockey club based in Augsburg, Germany.
  • A. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • B. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • C. AEF
    AEF was the common abbreviation for French Equatorial Africa, a former federation of French colonial territories in central Africa.
  • D. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • E. NEVS
    NEVS is a Swedish electric vehicle manufacturer that emerged from the acquisition of Saab Automobile’s assets, focusing on sustainable mobility solutions.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a72eda6c81908205ae5a1e05cc20 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6667aabe08190b56f129864082c84 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a66783f6cc819089570965e48b5749 completed March 3, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a667e58f988190be20a9aa3c8359fd completed March 3, 2026, 4:47 a.m.
Created at: March 1, 2026, 7:37 p.m.