Triple

T6452706
Position Surface form Disambiguated ID Type / Status
Subject Rue Wiertz / Wiertzstraat E139908 entity
Predicate hasDutchName P744 FINISHED
Object Wiertzstraat
Wiertzstraat is a street in Brussels, Belgium, located in the European Quarter near key European Union institutions.
 E598305 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: Wiertzstraat | Statement: [Rue Wiertz / Wiertzstraat, hasDutchName, Wiertzstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiertzstraat
Context triple: [Rue Wiertz / Wiertzstraat, hasDutchName, Wiertzstraat]
  • A. Marnixstraat
    Marnixstraat is a major street in central Amsterdam known for its tram lines, bus station, and proximity to popular areas like Leidseplein and the Jordaan.
  • B. Vijzelstraat
    Vijzelstraat is a major street in central Amsterdam, Netherlands, running between the city’s historic canals and serving as an important traffic and commercial route.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • E. Heemstedestraat
    Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • 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: Wiertzstraat
Triple: [Rue Wiertz / Wiertzstraat, hasDutchName, Wiertzstraat]
Generated description
Wiertzstraat is a street in Brussels, Belgium, located in the European Quarter near key European Union institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiertzstraat
Target entity description: Wiertzstraat is a street in Brussels, Belgium, located in the European Quarter near key European Union institutions.
  • A. Marnixstraat
    Marnixstraat is a major street in central Amsterdam known for its tram lines, bus station, and proximity to popular areas like Leidseplein and the Jordaan.
  • B. Vijzelstraat
    Vijzelstraat is a major street in central Amsterdam, Netherlands, running between the city’s historic canals and serving as an important traffic and commercial route.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • E. Heemstedestraat
    Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b62cbc81908b7f1a0dc1ed3e1d completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669de36a08190837817b32074e405 completed March 27, 2026, 11:28 a.m.
NEDg Description generation batch_69c66bfbdcc881909c68dac942994103 completed March 27, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c66d28430c8190945841d6327e5aef completed March 27, 2026, 11:42 a.m.
Created at: March 22, 2026, 4:47 p.m.