Triple

T21331153
Position Surface form Disambiguated ID Type / Status
Subject Lelystad E525900 entity
Predicate hasMuseum P105 FINISHED
Object Batavialand
Batavialand is a Dutch heritage museum and historical shipyard in Lelystad that focuses on the maritime and land reclamation history of the Netherlands.
 E1478422 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: Batavialand | Statement: [Lelystad, hasMuseum, Batavialand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batavialand
Context triple: [Lelystad, hasMuseum, Batavialand]
  • A. Maasland
    Maasland is a historical region in the Low Countries centered along the river Meuse, known for its medieval political and cultural significance.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • D. Foosland
    Foosland is a small village located in Champaign County, Illinois, United States.
  • E. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • 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: Batavialand
Triple: [Lelystad, hasMuseum, Batavialand]
Generated description
Batavialand is a Dutch heritage museum and historical shipyard in Lelystad that focuses on the maritime and land reclamation history of the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batavialand
Target entity description: Batavialand is a Dutch heritage museum and historical shipyard in Lelystad that focuses on the maritime and land reclamation history of the Netherlands.
  • A. Maasland
    Maasland is a historical region in the Low Countries centered along the river Meuse, known for its medieval political and cultural significance.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • D. Foosland
    Foosland is a small village located in Champaign County, Illinois, United States.
  • E. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab530a1c81909bb37c2a3407d9e6 completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5be9c288190b44f760ad94d9fed completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6922e1c8190a2210b22ed1f31ef completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6f4db008190b11b10c45ab20ed5 completed May 17, 2026, 11:31 a.m.
Created at: April 16, 2026, 4:42 p.m.