Triple

T17898475
Position Surface form Disambiguated ID Type / Status
Subject Waldshut-Tiengen E447495 entity
Predicate hasHistoricCore P16505 FINISHED
Object Waldshut old town NE NERFINISHED

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: Waldshut old town | Statement: [Waldshut-Tiengen, hasHistoricCore, Waldshut old town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldshut old town
Context triple: [Waldshut-Tiengen, hasHistoricCore, Waldshut old town]
  • A. Waldshut-Tiengen chosen
    Waldshut-Tiengen is a town in southwestern Germany near the Swiss border, formed by the merger of Waldshut and Tiengen and known for its historic old town and Rhine River setting.
  • B. Wiesloch
    Wiesloch is a town in the Rhine-Neckar district of Baden-Württemberg, Germany, known for its historical center and role as a regional commercial hub.
  • C. Unterwallenstadt
    Unterwallenstadt is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • E. Maulbronn
    Maulbronn is a historic town in Baden-Württemberg, Germany, best known for its well-preserved medieval Cistercian monastery complex, a UNESCO World Heritage Site.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8122b481909992356f3f575858 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.