Triple

T7620913
Position Surface form Disambiguated ID Type / Status
Subject Diamond District (Antwerp) E172487 entity
Predicate mainStreets P461 FINISHED
Object Rijfstraat
Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
 E680865 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: Rijfstraat | Statement: [Diamond District (Antwerp), mainStreets, Rijfstraat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rijfstraat
Context triple: [Diamond District (Antwerp), mainStreets, Rijfstraat]
  • A. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • B. Westerstraat
    Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. 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.
  • E. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • 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: Rijfstraat
Triple: [Diamond District (Antwerp), mainStreets, Rijfstraat]
Generated description
Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rijfstraat
Target entity description: Rijfstraat is a key street in Antwerp’s Diamond District, known for its concentration of diamond-related businesses and trade.
  • A. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • B. Westerstraat
    Westerstraat is a well-known street in Amsterdam’s historic Jordaan district, noted for its traditional architecture, local shops, and lively neighborhood atmosphere.
  • C. Lepelstraat
    Lepelstraat is a village in the Dutch province of North Brabant that forms part of the municipality of Bergen op Zoom.
  • D. 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.
  • E. Domstraat
    Domstraat is a historic street in the center of Utrecht, Netherlands, connecting key landmarks around the Dom Tower and cathedral.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c701731a288190b53ffc546a2f47d7 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a212d0888190a40cdf32ef53d993 completed March 29, 2026, 3:52 a.m.
NEDg Description generation batch_69c8a30d3fac8190bec7e2748bc8f17e completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3d2e660819099f90a9e43310381 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 3:55 p.m.