Triple

T10603450
Position Surface form Disambiguated ID Type / Status
Subject Achterwasser E275809 entity
Predicate locatedNear P294 FINISHED
Object Ückeritz
Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
E888436 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: Ückeritz | Statement: [Achterwasser, locatedNear, Ückeritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ückeritz
Context triple: [Achterwasser, locatedNear, Ückeritz]
  • A. Ueckermünde
    Ueckermünde is a small historic port town in northeastern Germany on the Szczecin Lagoon, known for its maritime heritage and access to the Baltic Sea.
  • B. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • C. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • D. Heringsdorf
    Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
  • E. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • 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: Ückeritz
Triple: [Achterwasser, locatedNear, Ückeritz]
Generated description
Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ückeritz
Target entity description: Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
  • A. Ueckermünde
    Ueckermünde is a small historic port town in northeastern Germany on the Szczecin Lagoon, known for its maritime heritage and access to the Baltic Sea.
  • B. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • C. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • D. Heringsdorf
    Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
  • E. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded6d698819084f96f46ea941461 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69deb055648c819085d36458847926b4 completed April 14, 2026, 9:23 p.m.
NEDg Description generation batch_69deb384fb588190ae5d11a60fec0f53 completed April 14, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69deb4a2d4c48190a828262b1cc05b37 completed April 14, 2026, 9:41 p.m.
Created at: April 8, 2026, 7:32 p.m.