Triple

T7180966
Position Surface form Disambiguated ID Type / Status
Subject Amstelveenlijn E167444 entity
Predicate hasStation P35 FINISHED
Object Oranjebaan
Oranjebaan is a tram and metro stop on the Amstelveenlijn in Amstelveen, Netherlands.
 E647242 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: Oranjebaan | Statement: [Amstelveenlijn, hasStation, Oranjebaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oranjebaan
Context triple: [Amstelveenlijn, hasStation, Oranjebaan]
  • A. Zoutleeuw
    Zoutleeuw is a historic town and municipality in the Belgian province of Flemish Brabant, known for its well-preserved medieval architecture and cultural heritage.
  • B. Hartelkanaal
    The Hartelkanaal is a Dutch shipping and drainage canal in the province of South Holland that connects the port and industrial areas near Rotterdam with the larger waterway network.
  • C. Maaslijn
    Maaslijn is a regional railway line in the Netherlands that runs along the River Meuse, connecting cities such as Nijmegen, Venlo, and Roermond.
  • D. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • E. Wateren
    Wateren is a small village in the Dutch province of Drenthe, known for its rural character and proximity to heathlands and forests.
  • 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: Oranjebaan
Triple: [Amstelveenlijn, hasStation, Oranjebaan]
Generated description
Oranjebaan is a tram and metro stop on the Amstelveenlijn in Amstelveen, Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oranjebaan
Target entity description: Oranjebaan is a tram and metro stop on the Amstelveenlijn in Amstelveen, Netherlands.
  • A. Zoutleeuw
    Zoutleeuw is a historic town and municipality in the Belgian province of Flemish Brabant, known for its well-preserved medieval architecture and cultural heritage.
  • B. Hartelkanaal
    The Hartelkanaal is a Dutch shipping and drainage canal in the province of South Holland that connects the port and industrial areas near Rotterdam with the larger waterway network.
  • C. Maaslijn
    Maaslijn is a regional railway line in the Netherlands that runs along the River Meuse, connecting cities such as Nijmegen, Venlo, and Roermond.
  • D. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • E. Wateren
    Wateren is a small village in the Dutch province of Drenthe, known for its rural character and proximity to heathlands and forests.
  • 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_69c7b93d04ec8190ac5c5bf9ace7eca1 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:49 p.m.