Triple

T9012842
Position Surface form Disambiguated ID Type / Status
Subject Roeterseiland Campus E215515 entity
Predicate hasAddressComponent P45702 FINISHED
Object Roetersstraat
Roetersstraat is a street in Amsterdam that runs through the University of Amsterdam’s Roeterseiland campus area.
 E782950 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: Roetersstraat | Statement: [Roeterseiland Campus, hasAddressComponent, Roetersstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roetersstraat
Context triple: [Roeterseiland Campus, hasAddressComponent, Roetersstraat]
  • A. Schupstraat
    Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
  • B. Hoveniersstraat
    Hoveniersstraat is a prominent street in Antwerp, Belgium, renowned as a central hub of the city's diamond trade and industry.
  • C. 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.
  • 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. Heemstedestraat
    Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • 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: Roetersstraat
Triple: [Roeterseiland Campus, hasAddressComponent, Roetersstraat]
Generated description
Roetersstraat is a street in Amsterdam that runs through the University of Amsterdam’s Roeterseiland campus area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roetersstraat
Target entity description: Roetersstraat is a street in Amsterdam that runs through the University of Amsterdam’s Roeterseiland campus area.
  • A. Schupstraat
    Schupstraat is a prominent street in Antwerp’s Diamond District, known for its dense concentration of diamond shops and related businesses.
  • B. Hoveniersstraat
    Hoveniersstraat is a prominent street in Antwerp, Belgium, renowned as a central hub of the city's diamond trade and industry.
  • C. 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.
  • 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. Heemstedestraat
    Heemstedestraat is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69f96980819093bfc49d48570c65 completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05be87434819090caedc38bf55123 completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05c856cd88190ab168ec1a5e0bf67 completed April 4, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69d05cdd33708190a2af906ea05fa32c completed April 4, 2026, 12:35 a.m.
Created at: March 30, 2026, 7:06 p.m.