Triple

T23116304
Position Surface form Disambiguated ID Type / Status
Subject Chartered Scientist E576760 entity
Predicate abbreviation P43 FINISHED
Object CSci
CSci is a professional designation awarded to scientists in the United Kingdom who meet high standards of education, experience, and professional practice.
 E1570752 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: CSci | Statement: [Chartered Scientist, abbreviation, CSci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CSci
Context triple: [Chartered Scientist, abbreviation, CSci]
  • A. CSE
    CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
  • B. CSE
    CSE is an acronym commonly used for the Certificate of Secondary Education, a former UK school-leaving qualification replaced by the GCSE system.
  • C. CSE
    CSE is the abbreviated name commonly used for the Department of Computer Science and Software Engineering.
  • D. CSE
    CSE is the Colombo Stock Exchange, the main stock market of Sri Lanka where securities such as shares and bonds are traded.
  • E. CSE
    CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
  • 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: CSci
Triple: [Chartered Scientist, abbreviation, CSci]
Generated description
CSci is a professional designation awarded to scientists in the United Kingdom who meet high standards of education, experience, and professional practice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CSci
Target entity description: CSci is a professional designation awarded to scientists in the United Kingdom who meet high standards of education, experience, and professional practice.
  • A. CSE
    CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
  • B. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • C. CSE
    CSE is an acronym commonly used for the Certificate of Secondary Education, a former UK school-leaving qualification replaced by the GCSE system.
  • D. CSE
    CSE is the abbreviated name commonly used for the Department of Computer Science and Software Engineering.
  • E. CSE
    CSE is the Colombo Stock Exchange, the main stock market of Sri Lanka where securities such as shares and bonds are traded.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e1326f08190a1a0b95396cbcd17 completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23ec62f08190a4dda0d537a7b024 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.