Triple

T2853517
Position Surface form Disambiguated ID Type / Status
Subject Burgwallen-Nieuwe Zijde E63145 entity
Predicate contains P35 FINISHED
Object Spuistraat
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
 E305255 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: Spuistraat | Statement: [Burgwallen-Nieuwe Zijde, contains, Spuistraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spuistraat
Context triple: [Burgwallen-Nieuwe Zijde, contains, Spuistraat]
  • A. 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.
  • B. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • C. Van Baerlestraat
    Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
  • D. Servetstraat
    Servetstraat is a small historic street located near Dom Square in the center of Utrecht, Netherlands.
  • E. Kalverstraat
    Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
  • 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: Spuistraat
Triple: [Burgwallen-Nieuwe Zijde, contains, Spuistraat]
Generated description
Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spuistraat
Target entity description: Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • A. 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.
  • B. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • C. Van Baerlestraat
    Van Baerlestraat is a major street in Amsterdam known for running alongside the Museumplein and providing access to several prominent museums and cultural institutions.
  • D. Servetstraat
    Servetstraat is a small historic street located near Dom Square in the center of Utrecht, Netherlands.
  • E. Kalverstraat
    Kalverstraat is one of Amsterdam’s busiest and most famous shopping streets, known for its dense concentration of retail stores and central location.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8774cc8190aa6ed40b26c4a568 completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b01ea4e3a481909241383e2c4093d8 completed March 10, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69b01f1a9ac48190b8d2b5247cb2c3d8 completed March 10, 2026, 1:39 p.m.
Created at: March 6, 2026, 10:02 p.m.