Triple

T9318300
Position Surface form Disambiguated ID Type / Status
Subject Gruuthusemuseum E224177 entity
Predicate locatedOn P40 FINISHED
Object Dijver
Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
 E798741 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: Dijver | Statement: [Gruuthusemuseum, locatedOn, Dijver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dijver
Context triple: [Gruuthusemuseum, locatedOn, Dijver]
  • A. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • B. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • C. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • D. Drecht
    Drecht is a lesser-known Dutch river whose waters help form the Amstel through their confluence.
  • E. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • 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: Dijver
Triple: [Gruuthusemuseum, locatedOn, Dijver]
Generated description
Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dijver
Target entity description: Dijver is a picturesque canal and adjoining street in the historic center of Bruges, Belgium, known for its medieval architecture and scenic waterfront views.
  • A. Everbeek
    Everbeek is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural landscape and wooded surroundings.
  • B. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • C. Oosterzele
    Oosterzele is a municipality in the Belgian province of East Flanders, known for its rural character and small villages.
  • D. Drecht
    Drecht is a lesser-known Dutch river whose waters help form the Amstel through their confluence.
  • E. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d110165800819085d05101a84313d1 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d110bb55488190955c18087aceecb8 completed April 4, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d11113db48819083a7da54f72326a6 completed April 4, 2026, 1:24 p.m.
Created at: March 30, 2026, 7:38 p.m.