Triple

T9020664
Position Surface form Disambiguated ID Type / Status
Subject Markt (Bruges) E215712 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Wollestraat
Wollestraat is a historic shopping street in the center of Bruges, Belgium, known for its medieval architecture and proximity to the city’s main square.
 E793590 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: Wollestraat | Statement: [Markt (Bruges), hasNearbyStreet, Wollestraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wollestraat
Context triple: [Markt (Bruges), hasNearbyStreet, Wollestraat]
  • A. Westerstraat
    Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
  • B. Steenstraat
    Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
  • C. Rijfstraat
    Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
  • D. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • 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: Wollestraat
Triple: [Markt (Bruges), hasNearbyStreet, Wollestraat]
Generated description
Wollestraat is a historic shopping street in the center of Bruges, Belgium, known for its medieval architecture and proximity to the city’s main square.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wollestraat
Target entity description: Wollestraat is a historic shopping street in the center of Bruges, Belgium, known for its medieval architecture and proximity to the city’s main square.
  • A. Westerstraat
    Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
  • B. Steenstraat
    Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
  • C. Rijfstraat
    Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
  • D. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a421c2c8190abb12c826066fe75 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3017a7c8190a7182acc7831d09b completed April 4, 2026, 10:08 a.m.
NEDg Description generation batch_69d0e57272cc819085a1fd3e356d7c46 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e72c3d088190953a5929f8b861d8 completed April 4, 2026, 10:25 a.m.
Created at: March 30, 2026, 7:07 p.m.