Triple

T5083166
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 50 E114571 entity
Predicate hasStation P35 FINISHED
Object Heemstedestraat
Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
 E493674 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: Heemstedestraat | Statement: [Amsterdam Metro line 50, hasStation, Heemstedestraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heemstedestraat
Context triple: [Amsterdam Metro line 50, hasStation, Heemstedestraat]
  • A. 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.
  • B. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • C. Reguliersbreestraat
    Reguliersbreestraat is a well-known shopping and nightlife street in central Amsterdam, noted for its cinemas, bars, and vibrant atmosphere.
  • D. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • E. P.C. Hooftstraat
    P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
  • 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: Heemstedestraat
Triple: [Amsterdam Metro line 50, hasStation, Heemstedestraat]
Generated description
Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heemstedestraat
Target entity description: Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • A. 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.
  • B. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • C. Reguliersbreestraat
    Reguliersbreestraat is a well-known shopping and nightlife street in central Amsterdam, noted for its cinemas, bars, and vibrant atmosphere.
  • D. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • E. P.C. Hooftstraat
    P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
  • 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_69beba6f3eb48190b544bf743829cb0c completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebbf5c968819093aaca8a09b2ea14 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebc8e25e08190bad1791a97b6482d completed March 21, 2026, 3:43 p.m.
Created at: March 20, 2026, 1:39 p.m.