Triple

T11604806
Position Surface form Disambiguated ID Type / Status
Subject Borgerhout E275226 entity
Predicate crossedBy P416 FINISHED
Object Turnhoutsebaan
Turnhoutsebaan is a major thoroughfare and commercial street running through the Antwerp district of Borgerhout in Belgium.
 E936946 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: Turnhoutsebaan | Statement: [Borgerhout, crossedBy, Turnhoutsebaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turnhoutsebaan
Context triple: [Borgerhout, crossedBy, Turnhoutsebaan]
  • A. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • B. Scheveningseweg
    Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
  • C. Vlamingstraat
    Vlamingstraat is a central street in Bruges, Belgium, known for its historic buildings, shops, and proximity to the city’s main square, the Markt.
  • D. Geldersekade
    Geldersekade is a historic canal and street in central Amsterdam, known for bordering the city’s old center and forming part of the edge of the Nieuwmarkt and Chinatown areas.
  • E. Wibautstraat
    Wibautstraat 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: Turnhoutsebaan
Triple: [Borgerhout, crossedBy, Turnhoutsebaan]
Generated description
Turnhoutsebaan is a major thoroughfare and commercial street running through the Antwerp district of Borgerhout in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turnhoutsebaan
Target entity description: Turnhoutsebaan is a major thoroughfare and commercial street running through the Antwerp district of Borgerhout in Belgium.
  • A. Spuistraat
    Spuistraat is a central street in Amsterdam known for its historic buildings, shops, and proximity to major city landmarks.
  • B. Scheveningseweg
    Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
  • C. Vlamingstraat
    Vlamingstraat is a central street in Bruges, Belgium, known for its historic buildings, shops, and proximity to the city’s main square, the Markt.
  • D. Geldersekade
    Geldersekade is a historic canal and street in central Amsterdam, known for bordering the city’s old center and forming part of the edge of the Nieuwmarkt and Chinatown areas.
  • E. Wibautstraat
    Wibautstraat 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87077d008190874a8339b64dd5ec completed April 26, 2026, 9:43 p.m.
NEDg Description generation batch_69ee9cf1cb2481908bc473c87bc42d60 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd31894481908dbd55f605c693f9 completed April 27, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:38 p.m.