Triple

T5083167
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 50 E114571 entity
Predicate hasStation P35 FINISHED
Object Henk Sneevlietweg
Henk Sneevlietweg is a metro station in Amsterdam named after Dutch communist and resistance leader Henk Sneevliet.
 E495187 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: Henk Sneevlietweg | Statement: [Amsterdam Metro line 50, hasStation, Henk Sneevlietweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henk Sneevlietweg
Context triple: [Amsterdam Metro line 50, hasStation, Henk Sneevlietweg]
  • A. Rozenstraat
    Rozenstraat is a street in Amsterdam’s historic Jordaan neighborhood, known for its traditional canal-side architecture and local character.
  • B. Scheveningseweg
    Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
  • C. P.C. Hooftstraat
    P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
  • D. Utrechtsestraat
    Utrechtsestraat is a well-known shopping and dining street in central Amsterdam, noted for its historic canalside setting and mix of boutiques, cafés, and restaurants.
  • E. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • 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: Henk Sneevlietweg
Triple: [Amsterdam Metro line 50, hasStation, Henk Sneevlietweg]
Generated description
Henk Sneevlietweg is a metro station in Amsterdam named after Dutch communist and resistance leader Henk Sneevliet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henk Sneevlietweg
Target entity description: Henk Sneevlietweg is a metro station in Amsterdam named after Dutch communist and resistance leader Henk Sneevliet.
  • A. Rozenstraat
    Rozenstraat is a street in Amsterdam’s historic Jordaan neighborhood, known for its traditional canal-side architecture and local character.
  • B. Scheveningseweg
    Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
  • C. P.C. Hooftstraat
    P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
  • D. Utrechtsestraat
    Utrechtsestraat is a well-known shopping and dining street in central Amsterdam, noted for its historic canalside setting and mix of boutiques, cafés, and restaurants.
  • E. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7517af308190bab5507a9344bf68 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec360a5848190a243da780b53559c completed March 21, 2026, 4:12 p.m.
NEDg Description generation batch_69bec506d5b88190bcf6e7cb5f602c2f completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec5ae111c8190914e93dc1680d36e completed March 21, 2026, 4:22 p.m.
Created at: March 20, 2026, 1:39 p.m.