Triple

T18984001
Position Surface form Disambiguated ID Type / Status
Subject Yverdon-Sport FC E464503 entity
Predicate shortName P43 FINISHED
Object Yverdon-Sport 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: Yverdon-Sport | Statement: [Yverdon-Sport FC, shortName, Yverdon-Sport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yverdon-Sport
Context triple: [Yverdon-Sport FC, shortName, Yverdon-Sport]
  • A. Yverdon-Sport FC chosen
    Yverdon-Sport FC is a Swiss professional football club based in Yverdon-les-Bains that competes in the country’s league system.
  • 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. Servette FC
    Servette FC is a historic professional football club from Geneva, Switzerland, known as one of the country’s most successful and traditional teams.
  • D. FC Sion
    FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
  • E. 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.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65ec0bc8190b878252b1b4c3620 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.