Triple

T20295208
Position Surface form Disambiguated ID Type / Status
Subject Bad Dürkheim E505328 entity
Predicate hasTwinTown P919 FINISHED
Object Kempten (Allgäu) 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: Kempten (Allgäu) | Statement: [Bad Dürkheim, hasTwinTown, Kempten (Allgäu)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kempten (Allgäu)
Context triple: [Bad Dürkheim, hasTwinTown, Kempten (Allgäu)]
  • A. Kempten chosen
    Kempten is a historic town in Bavaria, Germany, considered one of the country’s oldest urban settlements and known for its location in the Allgäu region.
  • B. Füssen
    Füssen is a picturesque Bavarian town in southern Germany, known for its historic old town, proximity to Neuschwanstein Castle, and scenic location near the Alps.
  • C. Leutkirch im Allgäu
    Leutkirch im Allgäu is a historic town in the Allgäu region of southern Germany, known for its medieval old town and scenic Alpine foothill surroundings.
  • D. Kempten (Bingen)
    Kempten (Bingen) is a district of the town Bingen am Rhein in Rhineland-Palatinate, Germany, known for its location along the Rhine and its winegrowing tradition.
  • E. Rosenheim
    Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:15 a.m.