Triple

T20972562
Position Surface form Disambiguated ID Type / Status
Subject Bergpark Wilhelmshöhe E516537 entity
Predicate locatedNear P294 FINISHED
Object Kassel city centre 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: Kassel city centre | Statement: [Bergpark Wilhelmshöhe, locatedNear, Kassel city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kassel city centre
Context triple: [Bergpark Wilhelmshöhe, locatedNear, Kassel city centre]
  • A. Kassel chosen
    Kassel is a city in central Germany known for its cultural institutions and as the host of the renowned contemporary art exhibition documenta.
  • B. Karlsruhe
    Karlsruhe is a major city in southwestern Germany best known as the seat of the country’s highest courts and a central hub of German constitutional jurisprudence.
  • C. Neustadt am Kulm
    Neustadt am Kulm is a small town in northeastern Bavaria, Germany, known for its location near the Rauher Kulm basalt cone and its scenic Upper Palatinate countryside.
  • D. Altstadt (Frankfurt am Main)
    Altstadt (Frankfurt am Main) is the historic old town district of Frankfurt, Germany, known for its reconstructed medieval streets, traditional architecture, and major cultural landmarks.
  • E. Straußfurt
    Straußfurt is a municipality in the German state of Thuringia, known for its rural setting and proximity to the Unstrut River.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba161d88190b8905891f449004e completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:44 p.m.