Triple

T21393462
Position Surface form Disambiguated ID Type / Status
Subject Princess Marie of Schwarzburg-Rudolstadt E527717 entity
Predicate placeOfDeath P21 FINISHED
Object Ludwigslust 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: Ludwigslust | Statement: [Princess Marie of Schwarzburg-Rudolstadt, placeOfDeath, Ludwigslust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigslust
Context triple: [Princess Marie of Schwarzburg-Rudolstadt, placeOfDeath, 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. Lispenhausen
    Lispenhausen is a village and district of the town Rotenburg an der Fulda in the state of Hesse, Germany.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1165a508190a72c008117675711 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.