Triple

T17773372
Position Surface form Disambiguated ID Type / Status
Subject FC Thun E443697 entity
Predicate shortName P43 FINISHED
Object FC Thun 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: FC Thun | Statement: [FC Thun, shortName, FC Thun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Thun
Context triple: [FC Thun, shortName, FC Thun]
  • A. FC Thun chosen
    FC Thun is a Swiss professional football club based in Thun that competes in the country’s league system and is known for its regional presence and occasional appearances in European competitions.
  • B. 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.
  • C. Zürcher SC
    Zürcher SC is a Swiss ice hockey club based in Zurich that has competed in the nation’s top leagues and attracted notable international players.
  • D. FC Luzern
    FC Luzern is a Swiss professional football club based in Lucerne that competes in the Swiss Super League and is known for its passionate local support and historic presence in Swiss football.
  • E. FC Sion
    FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871a2130819081743ae89dddc64b completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.