Triple

T15275068
Position Surface form Disambiguated ID Type / Status
Subject Veterans Affairs Canada E365116 entity
Predicate shortName P43 FINISHED
Object VAC
VAC is the federal government department responsible for providing services and benefits to Canadian military veterans and their families.
 E1146475 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: VAC | Statement: [Veterans Affairs Canada, shortName, VAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VAC
Context triple: [Veterans Affairs Canada, shortName, VAC]
  • A. VACO
    VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
  • B. VASS
    VASS is Vietnam’s leading national research institution dedicated to the study and development of the social sciences.
  • C. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • D. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • E. VMAC
    VMAC is the Virginia Mason Athletic Center, the Seattle Seahawks’ waterfront headquarters and primary training facility in Renton, Washington.
  • 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: VAC
Triple: [Veterans Affairs Canada, shortName, VAC]
Generated description
VAC is the federal government department responsible for providing services and benefits to Canadian military veterans and their families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VAC
Target entity description: VAC is the federal government department responsible for providing services and benefits to Canadian military veterans and their families.
  • A. VACO
    VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
  • B. VASS
    VASS is Vietnam’s leading national research institution dedicated to the study and development of the social sciences.
  • C. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • D. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • E. VMAC
    VMAC is the Virginia Mason Athletic Center, the Seattle Seahawks’ waterfront headquarters and primary training facility in Renton, Washington.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6069f488190b74793200e5698ff completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee82a8ab08190813620457c5357b4 completed May 9, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69fee8cce6c0819084b425b5cd09efe0 completed May 9, 2026, 7:57 a.m.
Created at: April 10, 2026, 3:14 a.m.