Triple

T6671956
Position Surface form Disambiguated ID Type / Status
Subject Meppel E151750 entity
Predicate hasTwinTown P919 FINISHED
Object Eutin
Eutin is a historic town in northern Germany’s Schleswig-Holstein region, known for its picturesque lakeside setting, castle, and cultural festivals.
 E631963 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: Eutin | Statement: [Meppel, hasTwinTown, Eutin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eutin
Context triple: [Meppel, hasTwinTown, Eutin]
  • A. Halberstadt
    Halberstadt is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and role as a former episcopal seat.
  • B. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • C. Lauenburg
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • D. Magdeburg
    Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
  • E. Merseburg
    Merseburg is a historic town in the German state of Saxony-Anhalt, known for its medieval cathedral and role as an important cultural and administrative center on the River Saale.
  • 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: Eutin
Triple: [Meppel, hasTwinTown, Eutin]
Generated description
Eutin is a historic town in northern Germany’s Schleswig-Holstein region, known for its picturesque lakeside setting, castle, and cultural festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eutin
Target entity description: Eutin is a historic town in northern Germany’s Schleswig-Holstein region, known for its picturesque lakeside setting, castle, and cultural festivals.
  • A. Halberstadt
    Halberstadt is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and role as a former episcopal seat.
  • B. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • C. Lauenburg
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • D. Magdeburg
    Magdeburg is a historic city in central Germany, known for its medieval cathedral, role as a major trading and industrial center, and location on the Elbe River.
  • E. Merseburg
    Merseburg is a historic town in the German state of Saxony-Anhalt, known for its medieval cathedral and role as an important cultural and administrative center on the River Saale.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0ca49f88190b9c8e0f641be0c3f completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7581d4fb081908530cfd5f7bcba24 completed March 28, 2026, 4:25 a.m.
NEDg Description generation batch_69c758fe82348190b8cfd6fc903df20b completed March 28, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c75972fc888190b8895e7ca755c848 completed March 28, 2026, 4:30 a.m.
Created at: March 27, 2026, 2:03 p.m.