Triple

T10445580
Position Surface form Disambiguated ID Type / Status
Subject Linköpings FC E246277 entity
Predicate hasWon P2624 FINISHED
Object Damallsvenskan E864250 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: Damallsvenskan | Statement: [Linköpings FC, hasWon, Damallsvenskan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damallsvenskan
Context triple: [Linköpings FC, hasWon, 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. Swedish football league system
    The Swedish football league system is a hierarchical structure of interconnected football divisions in Sweden, featuring promotion and relegation between multiple tiers from local amateur levels up to the professional top flight.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc43e53081909e14cfe295d17cb2 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:16 p.m.