Triple

T809391
Position Surface form Disambiguated ID Type / Status
Subject Biesbosch E17509 entity
Predicate locatedNear P294 FINISHED
Object Werkendam
Werkendam is a town in the Dutch province of North Brabant, known as a gateway to the Biesbosch National Park and its riverine landscapes.
E157871 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: Werkendam | Statement: [Biesbosch, locatedNear, Werkendam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werkendam
Context triple: [Biesbosch, locatedNear, Werkendam]
  • A. Brouwersdam
    Brouwersdam is a major Dutch dam and causeway in the Rhine–Meuse–Scheldt delta, built as part of the Delta Works to protect the Netherlands from North Sea flooding while supporting road traffic and water management.
  • B. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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: Werkendam
Triple: [Biesbosch, locatedNear, Werkendam]
Generated description
Werkendam is a town in the Dutch province of North Brabant, known as a gateway to the Biesbosch National Park and its riverine landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Werkendam
Target entity description: Werkendam is a town in the Dutch province of North Brabant, known as a gateway to the Biesbosch National Park and its riverine landscapes.
  • A. Brouwersdam
    Brouwersdam is a major Dutch dam and causeway in the Rhine–Meuse–Scheldt delta, built as part of the Delta Works to protect the Netherlands from North Sea flooding while supporting road traffic and water management.
  • B. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • E. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab256cbc8190bf75b5d5e35ff0aa completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46422408190911e6eaec5866fe8 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd4fade9881908ed8e4598f4821f6 completed March 8, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69acd55b90608190a5ff734af6264ab5 completed March 8, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:38 p.m.