Triple

T2936702
Position Surface form Disambiguated ID Type / Status
Subject South Beveland E79285 entity
Predicate hasTown P847 FINISHED
Object Borssele
Borssele is a village in the Dutch province of Zeeland best known for hosting the Netherlands’ only commercial nuclear power plant.
E689965 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: Borssele | Statement: [South Beveland, hasTown, Borssele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borssele
Context triple: [South Beveland, hasTown, Borssele]
  • A. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • B. Nieuwendam
    Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
  • C. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • D. Sneek
    Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
  • E. Ouddorp
    Ouddorp is a coastal village in the Netherlands known for its wide North Sea beaches and dunes, popular for tourism and water sports.
  • 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: Borssele
Triple: [South Beveland, hasTown, Borssele]
Generated description
Borssele is a village in the Dutch province of Zeeland best known for hosting the Netherlands’ only commercial nuclear power plant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Borssele
Target entity description: Borssele is a village in the Dutch province of Zeeland best known for hosting the Netherlands’ only commercial nuclear power plant.
  • A. Brouwershaven
    Brouwershaven is a small historic town in the Dutch province of Zeeland, known for its maritime heritage and well-preserved old center.
  • B. Nieuwendam
    Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
  • C. Alblasserdam
    Alblasserdam is a town and municipality in the western Netherlands, situated along the Noord River and known for its proximity to the Kinderdijk windmills.
  • D. Sneek
    Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
  • E. Ouddorp
    Ouddorp is a coastal village in the Netherlands known for its wide North Sea beaches and dunes, popular for tourism and water sports.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983df5e08190939cd8acf8ad5b55 completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9161f95a08190b68772a507936046 completed March 29, 2026, 12:07 p.m.
NEDg Description generation batch_69c916e758308190800277dc9399a01e completed March 29, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69c918a51c808190a4e7c8538565071b completed March 29, 2026, 12:18 p.m.
Created at: March 8, 2026, 2:56 p.m.