Triple

T7180963
Position Surface form Disambiguated ID Type / Status
Subject Amstelveenlijn E167444 entity
Predicate hasStation P35 FINISHED
Object Kronenburg
Kronenburg is a tram and metro stop in Amstelveen, Netherlands, serving the Amsterdam metro/Tram 25 line and the surrounding residential and commercial area.
 E691482 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: Kronenburg | Statement: [Amstelveenlijn, hasStation, Kronenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kronenburg
Context triple: [Amstelveenlijn, hasStation, Kronenburg]
  • A. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • D. Blankenburg
    Blankenburg is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and village-like atmosphere.
  • E. Blankenburg
    Blankenburg is a town in central Germany, located in the Harz region of the state of Saxony-Anhalt.
  • 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: Kronenburg
Triple: [Amstelveenlijn, hasStation, Kronenburg]
Generated description
Kronenburg is a tram and metro stop in Amstelveen, Netherlands, serving the Amsterdam metro/Tram 25 line and the surrounding residential and commercial area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kronenburg
Target entity description: Kronenburg is a tram and metro stop in Amstelveen, Netherlands, serving the Amsterdam metro/Tram 25 line and the surrounding residential and commercial area.
  • A. Koppenberg
    The Koppenberg is a short but brutally steep cobbled hill in the Flemish Ardennes, famed as one of the most iconic and decisive climbs in professional cycling.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • D. Blankenburg
    Blankenburg is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and village-like atmosphere.
  • E. Blankenburg
    Blankenburg is a town in central Germany, located in the Harz region of the state of Saxony-Anhalt.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ba91908190a9055d4e026b655c completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c988df1e4c8190a46c971a3f9b2d49 completed March 29, 2026, 8:17 p.m.
NEDg Description generation batch_69c989f183b88190b9d3da1b9565a23f completed March 29, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_69c98a94ea1881908a77be17237e7c12 completed March 29, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:49 p.m.