Triple

T16961281
Position Surface form Disambiguated ID Type / Status
Subject Markus Söder E411433 entity
Predicate familyName P18 FINISHED
Object Söder E411433 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: Söder | Statement: [Markus Söder, familyName, Söder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söder
Context triple: [Markus Söder, familyName, Söder]
  • A. Söder chosen
    Söder is a German surname most prominently associated with Markus Söder, a leading Bavarian politician and Minister-President of Bavaria.
  • B. Tobias Billström
    Tobias Billström is a Swedish Moderate Party politician who has served in several ministerial roles, including as Sweden’s Minister for Migration and later as Minister for Foreign Affairs.
  • C. Jimmie Åkesson
    Jimmie Åkesson is a Swedish politician who has led the right-wing populist Sweden Democrats party and played a major role in reshaping Sweden’s political landscape.
  • D. Tegnell
    Tegnell is a Swedish surname most notably associated with Anders Tegnell, the state epidemiologist who became widely known for his role in Sweden’s COVID-19 response.
  • E. Thorbjörn Fälldin
    Thorbjörn Fälldin was a Swedish Centre Party politician who served multiple terms as Prime Minister of Sweden in the 1970s and early 1980s, leading non-socialist coalition governments.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.