Triple

T13388791
Position Surface form Disambiguated ID Type / Status
Subject Toni Krinner E319515 entity
Predicate coachedTeam P2169 FINISHED
Object EHC München E94563 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: EHC München | Statement: [Toni Krinner, coachedTeam, EHC München]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EHC München
Context triple: [Toni Krinner, coachedTeam, EHC München]
  • A. EHC Red Bull München chosen
    EHC Red Bull München is a professional ice hockey club from Munich, Germany, known as one of the country’s top teams and a multiple-time national champion.
  • B. EHC Freiburg
    EHC Freiburg is a professional ice hockey club from Freiburg, Germany, competing in the German league system and known for its regional rivalry with the Schwenninger Wild Wings.
  • C. MTU München
    MTU München was the original company from which MTU Aero Engines emerged, serving as a key German manufacturer in the aerospace and engine industry.
  • D. EHC Nürnberg 1980
    EHC Nürnberg 1980 was the original ice hockey club that later evolved into the professional German team now known as the Nürnberg Ice Tigers.
  • E. 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.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d3a40081909ba49556130ad0e7 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72691c8d08190b971d7e914863cc1 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.