Triple

T10191696
Position Surface form Disambiguated ID Type / Status
Subject Amrum E238050 entity
Predicate hasVillage P4011 FINISHED
Object Süddorf
Süddorf is a small village on the North Sea island of Amrum in northern Germany, known for its traditional Frisian character and coastal surroundings.
 E849600 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: Süddorf | Statement: [Amrum, hasVillage, Süddorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Süddorf
Context triple: [Amrum, hasVillage, Süddorf]
  • A. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • B. Wallenhorst
    Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
  • C. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • D. Duisdorf
    Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
  • E. Friedrichstadt
    Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
  • 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: Süddorf
Triple: [Amrum, hasVillage, Süddorf]
Generated description
Süddorf is a small village on the North Sea island of Amrum in northern Germany, known for its traditional Frisian character and coastal surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Süddorf
Target entity description: Süddorf is a small village on the North Sea island of Amrum in northern Germany, known for its traditional Frisian character and coastal surroundings.
  • A. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • B. Wallenhorst
    Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
  • C. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • D. Duisdorf
    Duisdorf is a district of Bonn, Germany, known as a residential area with local commerce and public services within the borough of Hardtberg.
  • E. Friedrichstadt
    Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652a5fa6c8190ac153678f979cb74 completed April 8, 2026, 1:05 p.m.
NEDg Description generation batch_69d656c057348190823ae5f1ecc33b61 completed April 8, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d6575318a08190b4591b57f2595d51 completed April 8, 2026, 1:25 p.m.
Created at: March 30, 2026, 9:13 p.m.