Triple

T3006769
Position Surface form Disambiguated ID Type / Status
Subject Hannover Scorpions E81921 entity
Predicate formerName P65 FINISHED
Object ESC Wedemark
ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
 E319512 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: ESC Wedemark | Statement: [Hannover Scorpions, formerName, ESC Wedemark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESC Wedemark
Context triple: [Hannover Scorpions, formerName, ESC Wedemark]
  • A. Werder (Havel)
    Werder (Havel) is a historic town in Brandenburg, Germany, known for its island old town, fruit-growing traditions, and annual tree blossom festival along the Havel.
  • B. Düsseldorfer EG
    Düsseldorfer EG is a professional ice hockey club from Düsseldorf, Germany, known as one of the country’s traditional and historically successful teams.
  • C. ESV Kaufbeuren
    ESV Kaufbeuren is a professional ice hockey club based in Kaufbeuren, Germany, competing in the German league system and known for developing notable players such as Oleg Znarok.
  • D. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • E. Wolfsburg
    Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
  • 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: ESC Wedemark
Triple: [Hannover Scorpions, formerName, ESC Wedemark]
Generated description
ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESC Wedemark
Target entity description: ESC Wedemark was a German ice hockey club that later became known as the Hannover Scorpions.
  • A. Werder (Havel)
    Werder (Havel) is a historic town in Brandenburg, Germany, known for its island old town, fruit-growing traditions, and annual tree blossom festival along the Havel.
  • B. Düsseldorfer EG
    Düsseldorfer EG is a professional ice hockey club from Düsseldorf, Germany, known as one of the country’s traditional and historically successful teams.
  • C. ESV Kaufbeuren
    ESV Kaufbeuren is a professional ice hockey club based in Kaufbeuren, Germany, competing in the German league system and known for developing notable players such as Oleg Znarok.
  • D. Hannover 96
    Hannover 96 is a professional German football club based in Hanover, best known for competing in the Bundesliga and having a long history dating back to the late 19th century.
  • E. Wolfsburg
    Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a48f0888190bdec150dac623851 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e5b35e48190a9319a545d041ccc completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12ed522148190b25ad1de42b1604d completed March 11, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69b1d65fed248190ba3bcf0bef665264 completed March 11, 2026, 8:53 p.m.
Created at: March 8, 2026, 3 p.m.