Triple

T19905565
Position Surface form Disambiguated ID Type / Status
Subject SC Bern E478404 entity
Predicate rival P437 FINISHED
Object EHC Biel 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: EHC Biel | Statement: [SC Bern, rival, EHC Biel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EHC Biel
Context triple: [SC Bern, rival, EHC Biel]
  • A. EHC Biel chosen
    EHC Biel is a professional Swiss ice hockey club based in Biel/Bienne that competes in the National League and has won multiple national championships.
  • B. EHC Kloten
    EHC Kloten is a professional Swiss ice hockey club based in Kloten, known for its long history and multiple national championship titles.
  • C. EHC Visp
    EHC Visp is a Swiss professional ice hockey club based in Visp that competes in the country’s national league system and has developed notable players such as Nico Hischier.
  • D. EHC Winterthur
    EHC Winterthur is an ice hockey club based in Winterthur, Switzerland, competing in the Swiss ice hockey league system.
  • E. Stade de Suisse
    Stade de Suisse is a modern football stadium in Bern, Switzerland, best known as the home ground of Swiss club BSC Young Boys.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65946916881909c3f52208c07aa64 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.