Triple

T16561073
Position Surface form Disambiguated ID Type / Status
Subject Calw district E402337 entity
Predicate hasSpaTown P19664 FINISHED
Object Bad Wildbad E400064 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 Wildbad | Statement: [Calw district, hasSpaTown, Bad Wildbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Wildbad
Context triple: [Calw district, hasSpaTown, Bad Wildbad]
  • A. Bad Wildbad chosen
    Bad Wildbad is a spa town in Germany’s Black Forest, known for its thermal baths and scenic location along the Enz River.
  • B. Bad Wurzach
    Bad Wurzach is a spa town in the Allgäu region of southern Germany, known for its moorland landscapes and therapeutic mud baths.
  • C. Bad Cannstatt
    Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
  • D. Bad Säckingen
    Bad Säckingen is a historic spa town in southwestern Germany on the Rhine River, known for its medieval old town and one of the longest covered wooden bridges in Europe.
  • E. Bad Berleburg
    Bad Berleburg is a spa town in the Siegen-Wittgenstein district of North Rhine-Westphalia, Germany, known for its historic castle and location in the Rothaar Mountains.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576d88288190b33543bea4706a36 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006eddb01081908e7ab59264199e15 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.