Triple

T3658083
Position Surface form Disambiguated ID Type / Status
Subject Bergen op Zoom E77581 entity
Predicate hasPart P35 FINISHED
Object Lepelstraat
Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
 E377325 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: Lepelstraat | Statement: [Bergen op Zoom, hasPart, Lepelstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lepelstraat
Context triple: [Bergen op Zoom, hasPart, Lepelstraat]
  • 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. P.C. Hooftstraat
    P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
  • C. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • D. Raadhuisstraat
    Raadhuisstraat is a central street in Amsterdam, Netherlands, known for connecting Dam Square to the Jordaan district and for its historic architecture and shops.
  • 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: Lepelstraat
Triple: [Bergen op Zoom, hasPart, Lepelstraat]
Generated description
Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lepelstraat
Target entity description: Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • 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. P.C. Hooftstraat
    P.C. Hooftstraat is an upscale shopping street in Amsterdam known for its luxury boutiques and high-end international fashion brands.
  • C. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • D. Raadhuisstraat
    Raadhuisstraat is a central street in Amsterdam, Netherlands, known for connecting Dam Square to the Jordaan district and for its historic architecture and shops.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d48a2081908ac0f76d548a53ee completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4884071c881909daae2f3c510d399 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48ce33a208190bd7cf894a11497a1 completed March 13, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69b4aed7f4008190b5adbf3a89f4b5bd completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:24 p.m.