Triple

T12351028
Position Surface form Disambiguated ID Type / Status
Subject SV Straelen E294484 entity
Predicate shortName P43 FINISHED
Object SV Straelen E294484 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: SV Straelen | Statement: [SV Straelen, shortName, SV Straelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SV Straelen
Context triple: [SV Straelen, shortName, SV Straelen]
  • A. SV Straelen chosen
    SV Straelen is a German football club that has competed in the lower tiers of the national league system.
  • B. K.S.V. Waregem
    K.S.V. Waregem was a Belgian football club known for its historic presence in the top tier and participation in European competitions before its merger into S.V. Zulte Waregem.
  • C. MSK Gent
    MSK Gent is a prominent art museum in Ghent, Belgium, renowned for its extensive collection of Flemish and European fine arts spanning the Middle Ages to the 20th century.
  • D. Straelen
    Straelen is a historic town in western Germany’s Lower Rhine region, known for its agricultural economy and proximity to the Dutch border.
  • E. Lierse
    Lierse refers to something or someone originating from or associated with the city of Lier in Belgium, commonly used as a demonym and in the names of local institutions such as sports clubs.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab066108190bba8eca95d3e0a81 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.