Triple

T6295871
Position Surface form Disambiguated ID Type / Status
Subject Leidseplein E141129 entity
Predicate hasNearbyStreet P8235 FINISHED
Object 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.
E590773 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: Marnixstraat | Statement: [Leidseplein, hasNearbyStreet, Marnixstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marnixstraat
Context triple: [Leidseplein, hasNearbyStreet, Marnixstraat]
  • A. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • 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. Heemstedestraat
    Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • D. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • E. Cornelis Krusemanstraat
    Cornelis Krusemanstraat is a residential street in Amsterdam’s Oud-Zuid district, known for its upscale housing and proximity to museums and cultural attractions.
  • 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: Marnixstraat
Triple: [Leidseplein, hasNearbyStreet, Marnixstraat]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marnixstraat
Target entity description: 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.
  • A. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • 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. Heemstedestraat
    Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • D. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • E. Cornelis Krusemanstraat
    Cornelis Krusemanstraat is a residential street in Amsterdam’s Oud-Zuid district, known for its upscale housing and proximity to museums and cultural attractions.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6385c26f08190952d810a82b9236f completed March 27, 2026, 7:57 a.m.
NEDg Description generation batch_69c63b8ef91881909aa61754c123ac24 completed March 27, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_69c63c067c648190b6f4ac822d038900 completed March 27, 2026, 8:12 a.m.
Created at: March 22, 2026, 4:27 p.m.