Triple

T20168040
Position Surface form Disambiguated ID Type / Status
Subject Mark Lofthouse E491877 entity
Predicate playedFor P2170 FINISHED
Object SC Herisau 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: SC Herisau | Statement: [Mark Lofthouse, playedFor, SC Herisau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SC Herisau
Context triple: [Mark Lofthouse, playedFor, SC Herisau]
  • A. SC Herisau chosen
    SC Herisau is a Swiss ice hockey club based in Herisau that has competed in the country’s professional 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. 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.
  • D. Neuchâtel Xamax
    Neuchâtel Xamax is a Swiss professional football club based in Neuchâtel, known for its history in the Swiss Super League and strong regional rivalries.
  • E. 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.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.