Triple

T19960359
Position Surface form Disambiguated ID Type / Status
Subject College of Sciences and Humanities E479795 entity
Predicate abbreviation P43 FINISHED
Object CSH NE NERFINISHED

How this triple was built (2 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: CSH | Statement: [College of Sciences and Humanities, abbreviation, CSH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSH
Context triple: [College of Sciences and Humanities, abbreviation, CSH]
  • A. CSH chosen
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • B. CSH
    CSH is the ICAO airline designator used to identify Shanghai Airlines in international aviation operations.
  • C. CSH
    CSH is the National Rail station code for Carshalton railway station in the London Borough of Sutton, England.
  • D. CHS
    CHS is the abbreviation for the Committee on Hemispheric Security, a body within the Organization of American States focused on security issues in the Western Hemisphere.
  • E. CHS
    CHS is an acronym commonly used to refer to a College of Health Sciences, an academic unit focused on education and research in health-related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af386548190aefac1e40aac403d completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.