Triple

T10995421
Position Surface form Disambiguated ID Type / Status
Subject Badenweiler E259852 entity
Predicate partOf P40 FINISHED
Object Markgräflerland E185411 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: Markgräflerland | Statement: [Badenweiler, partOf, Markgräflerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markgräflerland
Context triple: [Badenweiler, partOf, Markgräflerland]
  • A. Markgräflerland chosen
    Markgräflerland is a wine-growing and agricultural region in southwest Germany’s Baden area, known for its mild climate, rolling hills, and proximity to the borders with France and Switzerland.
  • B. Giessenlanden
    Giessenlanden was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • C. Weimarer Land
    Weimarer Land is a rural district in the German state of Thuringia, known for its historic towns, cultural heritage, and agricultural landscapes surrounding the city of Weimar.
  • D. Hesse-Rotenburg
    Hesse-Rotenburg was a small German landgraviate and cadet branch territory of the House of Hesse within the Holy Roman Empire.
  • E. Hesse-Kassel
    Hesse-Kassel was a German principality known for supplying large numbers of Hessian mercenary troops to fight alongside the British during the American Revolutionary War.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d59ebc8190baff1f50bdc46c1b completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374762c748190a8c83f3d6fa7b1d3 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.