Triple

T17472018
Position Surface form Disambiguated ID Type / Status
Subject Kloten E425440 entity
Predicate hasSportsTeam P330 FINISHED
Object EHC Kloten 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 Kloten | Statement: [Kloten, hasSportsTeam, EHC Kloten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EHC Kloten
Context triple: [Kloten, hasSportsTeam, EHC Kloten]
  • A. EHC Kloten chosen
    EHC Kloten is a professional Swiss ice hockey club based in Kloten, known for its long history and multiple national championship titles.
  • B. EHC Winterthur
    EHC Winterthur is an ice hockey club based in Winterthur, Switzerland, competing in the Swiss ice hockey league system.
  • C. EHC Olten
    EHC Olten is a Swiss professional ice hockey club based in the town of Olten, competing in the country’s national league system.
  • D. EHC Biel
    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.
  • E. Excelsior Zürich
    Excelsior Zürich was a Swiss football club based in Zürich, notable as one of the early teams in the career of FC Barcelona founder Joan Gamper.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451b8a51081908d94bebe2417e3d3 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.