Triple

T12456403
Position Surface form Disambiguated ID Type / Status
Subject Westerbork transit camp E297671 entity
Predicate locatedNear P294 FINISHED
Object Hooghalen
Hooghalen is a village in the Dutch province of Drenthe, known for its proximity to the former Westerbork transit camp from World War II.
 E983739 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: Hooghalen | Statement: [Westerbork transit camp, locatedNear, Hooghalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hooghalen
Context triple: [Westerbork transit camp, locatedNear, Hooghalen]
  • A. Holleken
    Holleken is a local railway station serving the suburban area near Brussels, Belgium.
  • B. Hoogmade
    Hoogmade is a small village in the Dutch province of South Holland, known for its rural character and location within the municipality of Kaag en Braassem.
  • C. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • D. 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.
  • E. Vantongerloo
    Vantongerloo is the surname of Georges Vantongerloo, a Belgian abstract artist and sculptor associated with the De Stijl movement.
  • 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: Hooghalen
Triple: [Westerbork transit camp, locatedNear, Hooghalen]
Generated description
Hooghalen is a village in the Dutch province of Drenthe, known for its proximity to the former Westerbork transit camp from World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hooghalen
Target entity description: Hooghalen is a village in the Dutch province of Drenthe, known for its proximity to the former Westerbork transit camp from World War II.
  • A. Holleken
    Holleken is a local railway station serving the suburban area near Brussels, Belgium.
  • B. Hoogmade
    Hoogmade is a small village in the Dutch province of South Holland, known for its rural character and location within the municipality of Kaag en Braassem.
  • C. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • D. 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.
  • E. Vantongerloo
    Vantongerloo is the surname of Georges Vantongerloo, a Belgian abstract artist and sculptor associated with the De Stijl movement.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da2a3cc81908de5a85257627fe2 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f190c788190adceaab8117d52a6 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6405f9f6481909bcc3b2e3deeae7e completed May 2, 2026, 6:20 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.