Triple

T7620457
Position Surface form Disambiguated ID Type / Status
Subject Berchem E172477 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Groenenhoek
Groenenhoek is a residential neighborhood in the Berchem district of Antwerp, Belgium.
E679556 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: Groenenhoek | Statement: [Berchem, hasNeighbourhood, Groenenhoek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groenenhoek
Context triple: [Berchem, hasNeighbourhood, Groenenhoek]
  • A. Bergschenhoek
    Bergschenhoek is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Lansingerland.
  • B. Doornhoek
    Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
  • C. Bonteheuwel
    Bonteheuwel is a residential suburb of Cape Town, South Africa, located on the Cape Flats and known for its working-class community and apartheid-era history.
  • D. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • E. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • 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: Groenenhoek
Triple: [Berchem, hasNeighbourhood, Groenenhoek]
Generated description
Groenenhoek is a residential neighborhood in the Berchem district of Antwerp, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Groenenhoek
Target entity description: Groenenhoek is a residential neighborhood in the Berchem district of Antwerp, Belgium.
  • A. Bergschenhoek
    Bergschenhoek is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Lansingerland.
  • B. Doornhoek
    Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
  • C. Bonteheuwel
    Bonteheuwel is a residential suburb of Cape Town, South Africa, located on the Cape Flats and known for its working-class community and apartheid-era history.
  • D. Doorn Van Steyn
    Doorn Van Steyn was a British ice skater and actress best known as the first wife of future James Bond star Roger Moore.
  • E. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • 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_69c6fa62870c8190b17f44eb7a3ff2ad completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89d0b32848190921807e453474ec6 completed March 29, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69c89d6b75b881908886ea9505c0b582 completed March 29, 2026, 3:32 a.m.
Created at: March 27, 2026, 3:55 p.m.