Triple

T8014054
Position Surface form Disambiguated ID Type / Status
Subject Ineos E186565 entity
Predicate sponsors P1807 FINISHED
Object Lausanne Sport football club E143001 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: Lausanne Sport football club | Statement: [Ineos, sponsors, Lausanne Sport football club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lausanne Sport football club
Context triple: [Ineos, sponsors, Lausanne Sport football club]
  • A. FC Lausanne-Sport chosen
    FC Lausanne-Sport is a Swiss professional football club based in Lausanne that competes in the country’s top leagues and has a long-standing presence in national competitions.
  • B. 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.
  • C. FC Sion
    FC Sion is a Swiss professional football club from Sion, best known for its strong domestic cup tradition and passionate fan base.
  • 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. Yverdon-Sport FC
    Yverdon-Sport FC is a Swiss professional football club based in Yverdon-les-Bains that competes in the country’s league system.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c4937c8190999a156299299ab3 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:19 p.m.