Triple

T8490752
Position Surface form Disambiguated ID Type / Status
Subject Netherlands Central Bureau of Statistics E200961 entity
Predicate abbreviation P43 FINISHED
Object CBS
CBS is the national statistical office of the Netherlands responsible for collecting, analyzing, and publishing data on the country’s economy, population, and society.
 E737890 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: CBS | Statement: [Netherlands Central Bureau of Statistics, abbreviation, CBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CBS
Context triple: [Netherlands Central Bureau of Statistics, abbreviation, CBS]
  • A. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • B. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • C. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • D. CBS
    CBS is a college within the University of California, Davis that focuses on education and research in the biological sciences.
  • E. CBS
    CBS is the National Rail station code assigned to Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
  • 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: CBS
Triple: [Netherlands Central Bureau of Statistics, abbreviation, CBS]
Generated description
CBS is the national statistical office of the Netherlands responsible for collecting, analyzing, and publishing data on the country’s economy, population, and society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CBS
Target entity description: CBS is the national statistical office of the Netherlands responsible for collecting, analyzing, and publishing data on the country’s economy, population, and society.
  • A. CBS chosen
    CBS is the national statistical office of the Netherlands responsible for collecting, analyzing, and publishing data on the country’s economy, population, and society.
  • B. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • C. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • D. CBS
    CBS is a Harvard University research center dedicated to advancing the understanding of the brain through interdisciplinary neuroscience studies.
  • E. CBS
    CBS is the commonly used abbreviation for the Commission for Basic Systems, a specialized body focused on foundational infrastructure and standards, likely within an international or governmental organizational context.
  • F. None of above.

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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55af3f48190a8cd64cdce0ebd4c completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88d3e2808190856ee01cc20fbaec completed April 2, 2026, 3:18 p.m.
NEDg Description generation batch_69ce8b61a8f48190aa4555d39056ee16 completed April 2, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69ce8c03480081909120e2f790fe4394 completed April 2, 2026, 3:32 p.m.
Created at: March 30, 2026, 6:13 p.m.