Triple

T13801249
Position Surface form Disambiguated ID Type / Status
Subject ZSC Lions E331644 entity
Predicate notableRival P893 FINISHED
Object SC Bern E478404 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: SC Bern | Statement: [ZSC Lions, notableRival, SC Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SC Bern
Context triple: [ZSC Lions, notableRival, SC Bern]
  • A. SC Bern chosen
    SC Bern is a professional ice hockey club from Bern, Switzerland, known as one of the country’s most successful and popular teams.
  • B. FC St. Gallen
    FC St. Gallen is a Swiss professional football club based in St. Gallen and one of the oldest football clubs in continental Europe.
  • C. SC Rapperswil-Jona
    SC Rapperswil-Jona is a Swiss professional ice hockey club based in Rapperswil-Jona that competes in the country’s top leagues.
  • D. 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.
  • 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 (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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.