Triple

T17578521
Position Surface form Disambiguated ID Type / Status
Subject Pinguins E428135 entity
Predicate hasRivalryWith P893 FINISHED
Object Adler Mannheim NE NERFINISHED

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: Adler Mannheim | Statement: [Pinguins, hasRivalryWith, Adler Mannheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adler Mannheim
Context triple: [Pinguins, hasRivalryWith, Adler Mannheim]
  • A. Adler Mannheim chosen
    Adler Mannheim is a professional ice hockey team from Mannheim, Germany, known as one of the most successful and popular clubs in German ice hockey.
  • B. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • C. Julius Ochs Adler
    Julius Ochs Adler was an American newspaper executive, publisher of The New York Times, and U.S. Army officer who rose to the rank of major general.
  • D. Benedenberg
    Benedenberg is a small village in the Dutch province of South Holland, located within the municipality of Krimpenerwaard.
  • E. Biedenharn
    Biedenharn is a surname most notably associated with Joseph A. Biedenharn, an early bottler of Coca-Cola and prominent American businessman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cb40088190b726f2c026358cf2 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.