Triple

T9020662
Position Surface form Disambiguated ID Type / Status
Subject Markt (Bruges) E215712 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Steenstraat
Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
 E790157 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: Steenstraat | Statement: [Markt (Bruges), hasNearbyStreet, Steenstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steenstraat
Context triple: [Markt (Bruges), hasNearbyStreet, Steenstraat]
  • 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. Rijfstraat
    Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • E. Marnixstraat
    Marnixstraat is a major street in central Amsterdam known for its tram lines, bus station, and proximity to popular areas like Leidseplein and the Jordaan.
  • 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: Steenstraat
Triple: [Markt (Bruges), hasNearbyStreet, Steenstraat]
Generated description
Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steenstraat
Target entity description: Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
  • 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. Rijfstraat
    Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • E. Marnixstraat
    Marnixstraat is a major street in central Amsterdam known for its tram lines, bus station, and proximity to popular areas like Leidseplein and the Jordaan.
  • 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_69d0b17686608190bc144ff3e79074f7 completed April 4, 2026, 6:36 a.m.
NEDg Description generation batch_69d0b2b9fbf4819083e594d676323c65 completed April 4, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69d0b343a040819098620e2e3c451b39 completed April 4, 2026, 6:44 a.m.
Created at: March 30, 2026, 7:07 p.m.