Triple

T195775
Position Surface form Disambiguated ID Type / Status
Subject Dutch Brazil E3816 entity
Predicate alsoKnownAs P39 FINISHED
Object New Holland
New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
E24890 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: New Holland | Statement: [Dutch Brazil, alsoKnownAs, New Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Holland
Context triple: [Dutch Brazil, alsoKnownAs, New Holland]
  • A. Erla Maschinenwerk
    Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
  • B. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • C. Robart
    Robart is an alternative spelling of the given name Robert, typically used as a personal or family name.
  • D. Bredius 439
    Bredius 439 is the catalogue raisonné entry assigned to Rembrandt’s famous painting "The Night Watch" in Abraham Bredius’s authoritative listing of the artist’s works.
  • E. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • 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: New Holland
Triple: [Dutch Brazil, alsoKnownAs, New Holland]
Generated description
New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: New Holland
Target entity description: New Holland was the name given by the Dutch to their 17th-century colonial possessions in northeastern Brazil, known historically as Dutch Brazil.
  • A. Erla Maschinenwerk
    Erla Maschinenwerk was a German aircraft manufacturing company best known for producing Messerschmitt fighter planes under license during World War II.
  • B. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • C. Robart
    Robart is an alternative spelling of the given name Robert, typically used as a personal or family name.
  • D. Bredius 439
    Bredius 439 is the catalogue raisonné entry assigned to Rembrandt’s famous painting "The Night Watch" in Abraham Bredius’s authoritative listing of the artist’s works.
  • E. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25983b49c819080f7e161904c53da completed Feb. 28, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3115c46688190be8d5e172b4c61ea completed Feb. 28, 2026, 4:01 p.m.
NEDg Description generation batch_69a31466ef108190bbba6fc818a917a3 completed Feb. 28, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69a314cd8a188190926e0bcf70c60e7b completed Feb. 28, 2026, 4:16 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.