Triple

T15049550
Position Surface form Disambiguated ID Type / Status
Subject Kurpark Bad Harzburg E379319 entity
Predicate locatedIn P40 FINISHED
Object Bad Harzburg E78294 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: Bad Harzburg | Statement: [Kurpark Bad Harzburg, locatedIn, Bad Harzburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Harzburg
Context triple: [Kurpark Bad Harzburg, locatedIn, Bad Harzburg]
  • A. Bad Harzburg chosen
    Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
  • B. Bad Rotenfels
    Bad Rotenfels is a spa district of the town of Gaggenau in the Baden-Württemberg region of southwestern Germany, known for its thermal baths and scenic setting in the Murg Valley.
  • C. Bad Mergentheim
    Bad Mergentheim is a historic spa town in the German state of Baden-Württemberg, renowned for its mineral springs and picturesque setting in the Tauber Valley.
  • D. Bad Rothenfelde
    Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
  • E. Bad Marienberg
    Bad Marienberg is a small spa town in the Westerwald region of Rhineland-Palatinate, Germany, known for its health resorts and surrounding low-mountain landscape.
  • 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_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec878c52c8190bf010b1fd4d21f65 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3 a.m.