Triple

T15045989
Position Surface form Disambiguated ID Type / Status
Subject Mecklenburg-Schwerin E379225 entity
Predicate capital P234 FINISHED
Object Ludwigslust E1133520 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: Ludwigslust | Statement: [Mecklenburg-Schwerin, capital, Ludwigslust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigslust
Context triple: [Mecklenburg-Schwerin, capital, Ludwigslust]
  • A. Ludwigslust chosen
    Ludwigslust is a small town in northern Germany known for its Baroque palace complex and landscaped park, which once served as a ducal residence.
  • B. Bad Klosterlausnitz
    Bad Klosterlausnitz is a spa town in the German state of Thuringia, known for its therapeutic facilities and surrounding forested landscapes.
  • C. Wörlitz
    Wörlitz is a historic town in Saxony-Anhalt, Germany, best known for its UNESCO-listed Dessau-Wörlitz Garden Realm, one of the earliest and most significant landscape parks in continental Europe.
  • D. Friedrichsruh
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • E. Wilhelmsruh
    Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.