Triple

T14020011
Position Surface form Disambiguated ID Type / Status
Subject Tropenmuseum E337305 entity
Predicate locatedIn P40 FINISHED
Object Mauritskade
Mauritskade is a major street in Amsterdam, Netherlands, known for hosting cultural institutions and forming part of the city's eastern ring.
 E1076351 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: Mauritskade | Statement: [Tropenmuseum, locatedIn, Mauritskade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mauritskade
Context triple: [Tropenmuseum, locatedIn, Mauritskade]
  • A. Kungsholmsgatan
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • B. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • C. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • D. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • E. Regeringsgatan
    Regeringsgatan is a major street in central Stockholm, Sweden, known for its shops, offices, and role as a key thoroughfare through the city center.
  • 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: Mauritskade
Triple: [Tropenmuseum, locatedIn, Mauritskade]
Generated description
Mauritskade is a major street in Amsterdam, Netherlands, known for hosting cultural institutions and forming part of the city's eastern ring.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mauritskade
Target entity description: Mauritskade is a major street in Amsterdam, Netherlands, known for hosting cultural institutions and forming part of the city's eastern ring.
  • A. Kungsholmsgatan
    Kungsholmsgatan is a street in central Stockholm, Sweden, located on the island of Kungsholmen.
  • B. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • C. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • D. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • E. Regeringsgatan
    Regeringsgatan is a major street in central Stockholm, Sweden, known for its shops, offices, and role as a key thoroughfare through the city center.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3c7cd88190b236382058581740 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32f78dc8190bd357d179cbaa5bc completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc43c344c08190b5afa023f5009cb4 completed May 7, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fc444630408190b368611373265973 completed May 7, 2026, 7:50 a.m.
Created at: April 9, 2026, 10:19 p.m.