Triple

T22490981
Position Surface form Disambiguated ID Type / Status
Subject Martin Sjögren E556015 entity
Predicate leagueCoachedIn P7104 FINISHED
Object Damallsvenskan 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: Damallsvenskan | Statement: [Martin Sjögren, leagueCoachedIn, Damallsvenskan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damallsvenskan
Context triple: [Martin Sjögren, leagueCoachedIn, Damallsvenskan]
  • A. Damallsvenskan chosen
    Damallsvenskan is the highest professional women's football league in Sweden, featuring the country's top clubs and players.
  • B. Allsvenskan
    Allsvenskan is the top professional football league in Sweden, featuring the country’s highest-level clubs in a season-long competition.
  • C. Swedish Women's Hockey League
    The Swedish Women's Hockey League is the premier professional women's ice hockey league in Sweden, featuring the country's top female teams and players.
  • D. Match Cup Sweden
    Match Cup Sweden is a prominent international sailing regatta held annually in Marstrand, Sweden, and is part of the World Match Racing Tour.
  • E. REMA 1000-ligaen (women)
    REMA 1000-ligaen (women) is the top-tier professional women's handball league in Norway.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c40930c81908310ac6afd98c62e completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.