Triple

T6979260
Position Surface form Disambiguated ID Type / Status
Subject Coatbridge Sunnyside railway station E161795 entity
Predicate hasAbbreviation P43 FINISHED
Object CBS
CBS is the commonly used abbreviation for Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
 E634248 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: [Coatbridge Sunnyside railway station, hasAbbreviation, CBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CBS
Context triple: [Coatbridge Sunnyside railway station, hasAbbreviation, CBS]
  • A. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • 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 major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • 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 a Harvard University research center dedicated to advancing the understanding of the brain through interdisciplinary neuroscience studies.
  • 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: [Coatbridge Sunnyside railway station, hasAbbreviation, CBS]
Generated description
CBS is the commonly used abbreviation for Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CBS
Target entity description: CBS is the commonly used abbreviation for Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
  • A. CBS chosen
    CBS is the National Rail station code assigned to Coatbridge Sunnyside railway station in North Lanarkshire, Scotland.
  • B. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • C. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • 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 a college within the University of California, Davis that focuses on education and research in the biological sciences.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6aa6188190af7656ff4d0e3230 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775433cd48190a4b5093fc9c5476d completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c7774e453881909df31386a911cfa4 completed March 28, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c777d9c29c81908a816aed059ecc96 completed March 28, 2026, 6:40 a.m.
Created at: March 27, 2026, 2:31 p.m.