Triple

T16542833
Position Surface form Disambiguated ID Type / Status
Subject Schönau im Schwarzwald E401861 entity
Predicate locatedNear P294 FINISHED
Object Zell im Wiesental E938579 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: Zell im Wiesental | Statement: [Schönau im Schwarzwald, locatedNear, Zell im Wiesental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zell im Wiesental
Context triple: [Schönau im Schwarzwald, locatedNear, Zell im Wiesental]
  • A. Zell im Wiesental chosen
    Zell im Wiesental is a small town in the Black Forest region of southwestern Germany, known as the birthplace of Constanze Mozart, the wife of composer Wolfgang Amadeus Mozart.
  • B. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • C. Bad Waldliesborn
    Bad Waldliesborn is a spa village in the German region of Westphalia, known for its therapeutic mineral springs and health tourism.
  • D. Lorchhausen
    Lorchhausen is a small district of the town of Lorch in the Rheingau region of Hesse, Germany, known for its winegrowing and scenic location along the Rhine River.
  • E. Steinwiesen
    Steinwiesen is a small municipality in northern Bavaria, Germany, known for its location in the Franconian Forest and its traditional rural character.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455db6788190b929546050ea2488 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b0e5708190a286b8a316d6efd2 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.