Triple

T13698608
Position Surface form Disambiguated ID Type / Status
Subject River Waal E328453 entity
Predicate hasBridge P386 FINISHED
Object Bommelse Brug
Bommelse Brug is a notable bridge in the Netherlands that carries traffic across the River Waal, an important distributary of the Rhine.
 E1055995 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: Bommelse Brug | Statement: [River Waal, hasBridge, Bommelse Brug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bommelse Brug
Context triple: [River Waal, hasBridge, Bommelse Brug]
  • A. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • B. Højbro
    Højbro is a historic bridge in central Copenhagen that connects the islet of Slotsholmen with the rest of the city across the Inner Harbour.
  • C. Birkelunden
    Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Brønderslev
    Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
  • 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: Bommelse Brug
Triple: [River Waal, hasBridge, Bommelse Brug]
Generated description
Bommelse Brug is a notable bridge in the Netherlands that carries traffic across the River Waal, an important distributary of the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bommelse Brug
Target entity description: Bommelse Brug is a notable bridge in the Netherlands that carries traffic across the River Waal, an important distributary of the Rhine.
  • A. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • B. Højbro
    Højbro is a historic bridge in central Copenhagen that connects the islet of Slotsholmen with the rest of the city across the Inner Harbour.
  • C. Birkelunden
    Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Brønderslev
    Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc878b57c819094e7ea6d1a64211f completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f798aab9c48190acaa78864e89411f completed May 3, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_69f79943e4f4819098fa82cb6a32e08a completed May 3, 2026, 6:51 p.m.
Created at: April 9, 2026, 9:54 p.m.