Triple

T13698609
Position Surface form Disambiguated ID Type / Status
Subject River Waal E328453 entity
Predicate hasBridge P386 FINISHED
Object Brug bij Ewijk
Brug bij Ewijk is a major road bridge in the Netherlands that carries traffic across the River Waal near the town of Ewijk, forming part of an important national motorway route.
 E1055996 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: Brug bij Ewijk | Statement: [River Waal, hasBridge, Brug bij Ewijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brug bij Ewijk
Context triple: [River Waal, hasBridge, Brug bij Ewijk]
  • A. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • B. Schoterbrug
    Schoterbrug is a bridge spanning the Spaarne River in Haarlem, Netherlands, serving as an important local traffic connection.
  • C. Wijk
    Wijk is a short form of the Dutch given name Lodewijk, commonly used as an informal or familiar variant.
  • D. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • E. Ekeren
    Ekeren is a northern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • 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: Brug bij Ewijk
Triple: [River Waal, hasBridge, Brug bij Ewijk]
Generated description
Brug bij Ewijk is a major road bridge in the Netherlands that carries traffic across the River Waal near the town of Ewijk, forming part of an important national motorway route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brug bij Ewijk
Target entity description: Brug bij Ewijk is a major road bridge in the Netherlands that carries traffic across the River Waal near the town of Ewijk, forming part of an important national motorway route.
  • A. Bullewijk
    Bullewijk is a small waterway and urban canal in Amsterdam’s southeastern area, integrated into the city’s network of rivers and canals.
  • B. Schoterbrug
    Schoterbrug is a bridge spanning the Spaarne River in Haarlem, Netherlands, serving as an important local traffic connection.
  • C. Wijk
    Wijk is a short form of the Dutch given name Lodewijk, commonly used as an informal or familiar variant.
  • D. Oosterwijtwerd
    Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
  • E. Ekeren
    Ekeren is a northern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • 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.