Triple

T21336865
Position Surface form Disambiguated ID Type / Status
Subject IJburg E526071 entity
Predicate hasPart P35 FINISHED
Object Strandeiland
Strandeiland is a newly created artificial island in Amsterdam’s IJburg district, developed as part of the city’s waterfront expansion with housing, beaches, and recreational areas.
 E1478938 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: Strandeiland | Statement: [IJburg, hasPart, Strandeiland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strandeiland
Context triple: [IJburg, hasPart, Strandeiland]
  • A. Orrestranda
    Orrestranda is a long, sandy beach on Norway’s Jæren coast, known for its dunes, birdlife, and popularity with surfers and walkers.
  • B. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • C. Græsholm
    Græsholm is a small Danish island that forms part of the Hirsholmene archipelago in the Kattegat.
  • D. Græsholm
    Græsholm is a small uninhabited islet in the Ertholmene archipelago of the Baltic Sea, known primarily as a protected bird sanctuary.
  • E. Sandholmen
    Sandholmen is an island within Finland’s Pellinge archipelago, known for its coastal nature and maritime surroundings.
  • 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: Strandeiland
Triple: [IJburg, hasPart, Strandeiland]
Generated description
Strandeiland is a newly created artificial island in Amsterdam’s IJburg district, developed as part of the city’s waterfront expansion with housing, beaches, and recreational areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strandeiland
Target entity description: Strandeiland is a newly created artificial island in Amsterdam’s IJburg district, developed as part of the city’s waterfront expansion with housing, beaches, and recreational areas.
  • A. Orrestranda
    Orrestranda is a long, sandy beach on Norway’s Jæren coast, known for its dunes, birdlife, and popularity with surfers and walkers.
  • B. Totland
    Totland is a coastal village and civil parish on the western side of the Isle of Wight in England, known for its bay, beach, and scenic views across the Solent.
  • C. Græsholm
    Græsholm is a small Danish island that forms part of the Hirsholmene archipelago in the Kattegat.
  • D. Græsholm
    Græsholm is a small uninhabited islet in the Ertholmene archipelago of the Baltic Sea, known primarily as a protected bird sanctuary.
  • E. Sandholmen
    Sandholmen is an island within Finland’s Pellinge archipelago, known for its coastal nature and maritime surroundings.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d9413c8190a43a6b0c67d5fc5f completed April 22, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c260dc8190be7acb83b1c9c832 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a8aef61c8190985aad0637b8fadd completed May 17, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_6a09a915a57c81909b5b1bb7042957a0 completed May 17, 2026, 11:40 a.m.
Created at: April 16, 2026, 4:43 p.m.