Triple

T1333891
Position Surface form Disambiguated ID Type / Status
Subject Ahaus E28702 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Coesfeld
Coesfeld is a town in the Münster region of North Rhine-Westphalia, Germany, known as a local administrative and commercial center.
 E205349 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: Coesfeld | Statement: [Ahaus, hasRailConnectionTo, Coesfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coesfeld
Context triple: [Ahaus, hasRailConnectionTo, Coesfeld]
  • A. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • B. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • 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. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
  • E. Walsrode
    Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
  • 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: Coesfeld
Triple: [Ahaus, hasRailConnectionTo, Coesfeld]
Generated description
Coesfeld is a town in the Münster region of North Rhine-Westphalia, Germany, known as a local administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coesfeld
Target entity description: Coesfeld is a town in the Münster region of North Rhine-Westphalia, Germany, known as a local administrative and commercial center.
  • A. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • B. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • 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. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
  • E. Walsrode
    Walsrode is a small town in Lower Saxony, Germany, known for its location in the Lüneburg Heath region and its large bird park, the Weltvogelpark Walsrode.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e98900819092c54c0fb58b958a completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69adc986352881909dcc435095bc0f8f completed March 8, 2026, 7:09 p.m.
NEDg Description generation batch_69adcb87535c8190a3d152e593d47165 completed March 8, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69adcc295e648190b42156f3607d9e2e completed March 8, 2026, 7:21 p.m.
Created at: March 1, 2026, 7:55 p.m.