Triple

T11052718
Position Surface form Disambiguated ID Type / Status
Subject Haaksbergen E261296 entity
Predicate locatedNear P294 FINISHED
Object Buurse
Buurse is a small village in the eastern Netherlands, near the German border, known for its rural landscape and nature reserves.
 E901444 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: Buurse | Statement: [Haaksbergen, locatedNear, Buurse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buurse
Context triple: [Haaksbergen, locatedNear, Buurse]
  • A. Borsa
    Borsa is the nickname of Roger Borsa, a medieval Norman nobleman who ruled as Duke of Apulia in southern Italy.
  • B. Rynek
    Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
  • C. Bourse
    Bourse is a Paris Métro station in the 2nd arrondissement, named after and serving the historic Paris stock exchange area.
  • D. Borsele
    Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
  • E. Buysscheure
    Buysscheure is a small commune in northern France’s Nord department, known as the area where the Yser River originates.
  • 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: Buurse
Triple: [Haaksbergen, locatedNear, Buurse]
Generated description
Buurse is a small village in the eastern Netherlands, near the German border, known for its rural landscape and nature reserves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buurse
Target entity description: Buurse is a small village in the eastern Netherlands, near the German border, known for its rural landscape and nature reserves.
  • A. Borsa
    Borsa is the nickname of Roger Borsa, a medieval Norman nobleman who ruled as Duke of Apulia in southern Italy.
  • B. Rynek
    Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
  • C. Bourse
    Bourse is a Paris Métro station in the 2nd arrondissement, named after and serving the historic Paris stock exchange area.
  • D. Borsele
    Borsele is a municipality in the Dutch province of Zeeland, known for its rural landscape, villages, and the nearby Borssele nuclear power plant.
  • E. Buysscheure
    Buysscheure is a small commune in northern France’s Nord department, known as the area where the Yser River originates.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986c0df88190b29d71db5538450a completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa1c2d9c8190959e28ccef4e0f6d completed April 18, 2026, 3:58 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b20f20bc8190a848c6fca8e2427f completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.