Triple

T21305300
Position Surface form Disambiguated ID Type / Status
Subject Mur River E525180 entity
Predicate majorCityOnRiver P316 FINISHED
Object Bad Radkersburg E1149074 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 Radkersburg | Statement: [Mur River, majorCityOnRiver, Bad Radkersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Radkersburg
Context triple: [Mur River, majorCityOnRiver, Bad Radkersburg]
  • A. Bad Radkersburg chosen
    Bad Radkersburg is a historic spa town in southeastern Austria near the Slovenian border, renowned for its thermal springs and well-preserved medieval architecture.
  • B. 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.
  • C. Bad Nauheim
    Bad Nauheim is a spa town in the German state of Hesse, historically known for its therapeutic mineral springs and health resorts.
  • D. 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.
  • E. Bad Grönenbach
    Bad Grönenbach is a spa town in the Bavarian Allgäu region of southern Germany, known for its health resorts and picturesque rural surroundings.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa3f90481909b212bdbf00c2bb0 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed32130819081479d9845d74ac3 completed May 17, 2026, 10:56 a.m.
Created at: April 16, 2026, 4:05 p.m.