Triple

T6553314
Position Surface form Disambiguated ID Type / Status
Subject Zeewolde E152380 entity
Predicate locatedNear P294 FINISHED
Object Veluwemeer
Veluwemeer is a shallow border lake in the central Netherlands, popular for water sports, recreation, and nature conservation.
E600142 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: Veluwemeer | Statement: [Zeewolde, locatedNear, Veluwemeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veluwemeer
Context triple: [Zeewolde, locatedNear, Veluwemeer]
  • A. Uitgeestermeer
    Uitgeestermeer is a lake in North Holland, the Netherlands, known for its recreational boating, sailing, and natural wetland surroundings near the town of Uitgeest.
  • B. Oostvoornse Meer
    Oostvoornse Meer is a recreational lake in the Dutch province of South Holland, popular for activities such as diving, windsurfing, and nature walks.
  • C. Veerse Meer
    Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
  • D. Lake Viken
    Lake Viken is a freshwater lake in southern Sweden that forms a key summit-level section of the Göta Canal, marking its highest navigable point.
  • E. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • 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: Veluwemeer
Triple: [Zeewolde, locatedNear, Veluwemeer]
Generated description
Veluwemeer is a shallow border lake in the central Netherlands, popular for water sports, recreation, and nature conservation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veluwemeer
Target entity description: Veluwemeer is a shallow border lake in the central Netherlands, popular for water sports, recreation, and nature conservation.
  • A. Uitgeestermeer
    Uitgeestermeer is a lake in North Holland, the Netherlands, known for its recreational boating, sailing, and natural wetland surroundings near the town of Uitgeest.
  • B. Oostvoornse Meer
    Oostvoornse Meer is a recreational lake in the Dutch province of South Holland, popular for activities such as diving, windsurfing, and nature walks.
  • C. Veerse Meer
    Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
  • D. Lake Viken
    Lake Viken is a freshwater lake in southern Sweden that forms a key summit-level section of the Göta Canal, marking its highest navigable point.
  • E. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8041d081909cd64dab7ccbd035 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:51 p.m.