Triple

T19492448
Position Surface form Disambiguated ID Type / Status
Subject district of Waldshut E487684 entity
Predicate containsMunicipality P852 FINISHED
Object Wehr
Wehr is a small town and municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, situated in the southern Black Forest region.
E1377889 NE FINISHED

How this triple was built (4 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: Wehr | Statement: [district of Waldshut, containsMunicipality, Wehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wehr
Context triple: [district of Waldshut, containsMunicipality, Wehr]
  • A. Widdelswehr
    Widdelswehr is a small district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Heimwehr
    Heimwehr was an Austrian right-wing nationalist paramilitary organization active in the interwar period, known for its opposition to socialism and support for authoritarian rule.
  • C. Hæren
    Hæren is the land warfare branch of Norway’s armed forces, responsible for ground-based military operations and national defense.
  • D. Geltow
    Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
  • E. Bundeswehr
    The Bundeswehr is the unified armed forces of the Federal Republic of Germany, established in 1955 as a modern, democratically controlled military.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wehr
Triple: [district of Waldshut, containsMunicipality, Wehr]
Generated description
Wehr is a small town and municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, situated in the southern Black Forest region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wehr
Target entity description: Wehr is a small town and municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, situated in the southern Black Forest region.
  • A. Widdelswehr
    Widdelswehr is a small district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Heimwehr
    Heimwehr was an Austrian right-wing nationalist paramilitary organization active in the interwar period, known for its opposition to socialism and support for authoritarian rule.
  • C. Hæren
    Hæren is the land warfare branch of Norway’s armed forces, responsible for ground-based military operations and national defense.
  • D. Geltow
    Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
  • E. Bundeswehr
    The Bundeswehr is the unified armed forces of the Federal Republic of Germany, established in 1955 as a modern, democratically controlled military.
  • F. None of above. chosen

Provenance (5 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348f4d708190a6e612863fee4b97 completed April 20, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07405fbebc81909d939d528081b2c5 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a07413800488190b15864c7ae43df12 completed May 15, 2026, 3:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0741a5783081908e0434153351b4a3 completed May 15, 2026, 3:54 p.m.
Created at: April 10, 2026, 1:39 p.m.