Triple

T4860884
Position Surface form Disambiguated ID Type / Status
Subject Canadian Armed Forces medical services E108655 entity
Predicate alsoKnownAs P39 FINISHED
Object CFHS
CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
 E473792 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: CFHS | Statement: [Canadian Armed Forces medical services, alsoKnownAs, CFHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFHS
Context triple: [Canadian Armed Forces medical services, alsoKnownAs, CFHS]
  • A. 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.
  • B. CHS
    CHS is the three-letter IATA airport code for Charleston International Airport, the primary commercial airport serving the Charleston, South Carolina area.
  • C. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • D. CSH
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • E. CHES
    CHES (Cryptographic Hardware and Embedded Systems) is a leading annual conference focused on the design and analysis of cryptographic hardware and security in embedded systems.
  • 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: CFHS
Triple: [Canadian Armed Forces medical services, alsoKnownAs, CFHS]
Generated description
CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFHS
Target entity description: CFHS is the Canadian Forces Health Services, the branch of the Canadian Armed Forces responsible for providing medical and dental care to military personnel.
  • A. CHS
    CHS is the three-letter IATA airport code for Charleston International Airport, the primary commercial airport serving the Charleston, South Carolina area.
  • B. 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.
  • C. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • D. CSH
    CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
  • E. CHES
    CHES (Cryptographic Hardware and Embedded Systems) is a leading annual conference focused on the design and analysis of cryptographic hardware and security in embedded systems.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5e247c8190b6ae4e9b529f0345 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf49590819084de6b655f1c8e88 completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5e7337f481909eb4a41ffe8cd1fe completed March 21, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69be5eaa968081908dafb523f05d597f completed March 21, 2026, 9:02 a.m.
Created at: March 20, 2026, 1:26 p.m.