Triple

T7503699
Position Surface form Disambiguated ID Type / Status
Subject Veghel E177331 entity
Predicate hasIndustrialArea P40 FINISHED
Object Doornhoek
Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
E678637 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: Doornhoek | Statement: [Veghel, hasIndustrialArea, Doornhoek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doornhoek
Context triple: [Veghel, hasIndustrialArea, Doornhoek]
  • A. 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.
  • B. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • E. De Cocksdorp
    De Cocksdorp is a small village on the northern tip of the Dutch Wadden Island of Texel, known for its lighthouse and coastal landscapes.
  • 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: Doornhoek
Triple: [Veghel, hasIndustrialArea, Doornhoek]
Generated description
Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doornhoek
Target entity description: Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
  • A. 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.
  • B. Enkeldoorn
    Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • E. De Cocksdorp
    De Cocksdorp is a small village on the northern tip of the Dutch Wadden Island of Texel, known for its lighthouse and coastal landscapes.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87070d8a88190afde21f548d86292 completed March 29, 2026, 12:21 a.m.
NEDg Description generation batch_69c8723391f48190b60ba8952c9ccca7 completed March 29, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69c87401aaa48190b3e44298fcd3f37f completed March 29, 2026, 12:36 a.m.
Created at: March 27, 2026, 3:44 p.m.