Triple

T20688063
Position Surface form Disambiguated ID Type / Status
Subject Rudolstadt E508473 entity
Predicate hasCastle P22469 FINISHED
Object Heidecksburg NE NERFINISHED

How this triple was built (3 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: Heidecksburg | Statement: [Rudolstadt, hasCastle, Heidecksburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidecksburg
Context triple: [Rudolstadt, hasCastle, Heidecksburg]
  • A. Heroldsberg
    Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • B. Hachenburg
    Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
  • C. Offenberg
    Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
  • D. Schramberg
    Schramberg is a town in the Black Forest region of Baden-Württemberg, Germany, known for its historic clockmaking industry and picturesque valley setting.
  • E. Stein am Rhein
    Stein am Rhein is a small medieval town in northern Switzerland renowned for its well-preserved old town and richly painted half-timbered houses along the Rhine River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heidecksburg
Target entity description: Heidecksburg is a prominent baroque hilltop castle in Rudolstadt, Thuringia, known for its grand architecture and historical significance as a former princely residence.
  • A. Heroldsberg
    Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • B. Hachenburg
    Hachenburg is a historic small town in the Westerwald region of Rhineland-Palatinate, Germany, known for its medieval town center and hilltop castle.
  • C. Offenberg
    Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
  • D. Schramberg
    Schramberg is a town in the Black Forest region of Baden-Württemberg, Germany, known for its historic clockmaking industry and picturesque valley setting.
  • E. Stein am Rhein
    Stein am Rhein is a small medieval town in northern Switzerland renowned for its well-preserved old town and richly painted half-timbered houses along the Rhine River.
  • F. None of above. chosen

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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.