Triple

T19194014
Position Surface form Disambiguated ID Type / Status
Subject Moritzburg Castle E469917 entity
Predicate locatedIn P40 FINISHED
Object Moritzburg, Saxony 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: Moritzburg, Saxony | Statement: [Moritzburg Castle, locatedIn, Moritzburg, Saxony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moritzburg, Saxony
Context triple: [Moritzburg Castle, locatedIn, Moritzburg, Saxony]
  • A. Moritzburg chosen
    Moritzburg is a small Saxon town in eastern Germany, best known for its Baroque Moritzburg Castle and surrounding lakes and forests.
  • B. City of Meissen
    The City of Meissen is a historic town in Saxony, Germany, renowned as the birthplace of European hard-paste porcelain and noted for its medieval architecture and hilltop cathedral.
  • C. Meißen
    Meißen is a historic town in the German state of Saxony, renowned for its porcelain manufacture and well-preserved medieval architecture along the Elbe River.
  • D. Oranienburg
    Oranienburg is a town in Brandenburg, Germany, historically known as the site of the Nazi Sachsenhausen concentration camp.
  • E. Sachsenburg
    Sachsenburg is a locality in the Unstrut River region of central Germany, known for its historical rural character and surrounding natural landscape.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a409948190a17aa28a6e9c8844 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.