Triple

T3724551
Position Surface form Disambiguated ID Type / Status
Subject Krefeld Pinguine E81717 entity
Predicate hasRival P1375 FINISHED
Object Düsseldorfer EG E93923 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: Düsseldorfer EG | Statement: [Krefeld Pinguine, hasRival, Düsseldorfer EG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düsseldorfer EG
Context triple: [Krefeld Pinguine, hasRival, Düsseldorfer EG]
  • A. Düsseldorfer EG chosen
    Düsseldorfer EG is a professional ice hockey club from Düsseldorf, Germany, known as one of the country’s traditional and historically successful teams.
  • B. KFC Uerdingen 05
    KFC Uerdingen 05 is a German football club known for its history in the Bundesliga and domestic cup competitions.
  • C. Straubing Tigers
    Straubing Tigers is a professional ice hockey team from Straubing, Germany that competes at the top level of German ice hockey.
  • D. Frankfurt Lions
    The Frankfurt Lions were a professional ice hockey team from Frankfurt am Main, Germany, that competed in the Deutsche Eishockey Liga (DEL) and were known for their passionate fan base and regional rivalries.
  • E. 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.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf54af881908bd8d520595de061 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db0e40b08190abacdda42dbde411 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.