Triple

T2030647
Position Surface form Disambiguated ID Type / Status
Subject Princess Patricia's Canadian Light Infantry E44507 entity
Predicate garrison P75 FINISHED
Object CFB Shilo
CFB Shilo is a major Canadian Forces base in Manitoba known primarily as an artillery and infantry training centre.
 E225387 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: CFB Shilo | Statement: [Princess Patricia's Canadian Light Infantry, garrison, CFB Shilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFB Shilo
Context triple: [Princess Patricia's Canadian Light Infantry, garrison, CFB Shilo]
  • A. CFB Kingston
    CFB Kingston is a major Canadian Armed Forces base in Kingston, Ontario, primarily focused on military training, communications, and education.
  • B. CFB Petawawa
    CFB Petawawa is a major Canadian Army base in Ontario that serves as a key hub for land forces training and operations.
  • C. CFB Halifax
    CFB Halifax is a major Royal Canadian Navy base and one of Canada’s primary Atlantic maritime defence installations, located in Halifax, Nova Scotia.
  • D. Whiting Field
    Whiting Field is a U.S. Navy airfield in Florida that serves as a major training base for naval aviators.
  • E. Beebe
    Beebe is a surname most notably associated with Ford Beebe, an American film director and screenwriter known for his work on serials and B-movies in the early to mid-20th century.
  • 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: CFB Shilo
Triple: [Princess Patricia's Canadian Light Infantry, garrison, CFB Shilo]
Generated description
CFB Shilo is a major Canadian Forces base in Manitoba known primarily as an artillery and infantry training centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFB Shilo
Target entity description: CFB Shilo is a major Canadian Forces base in Manitoba known primarily as an artillery and infantry training centre.
  • A. CFB Kingston
    CFB Kingston is a major Canadian Armed Forces base in Kingston, Ontario, primarily focused on military training, communications, and education.
  • B. CFB Petawawa
    CFB Petawawa is a major Canadian Army base in Ontario that serves as a key hub for land forces training and operations.
  • C. CFB Halifax
    CFB Halifax is a major Royal Canadian Navy base and one of Canada’s primary Atlantic maritime defence installations, located in Halifax, Nova Scotia.
  • D. Whiting Field
    Whiting Field is a U.S. Navy airfield in Florida that serves as a major training base for naval aviators.
  • E. Beebe
    Beebe is a surname most notably associated with Ford Beebe, an American film director and screenwriter known for his work on serials and B-movies in the early to mid-20th century.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb915c9548190809d08c4d67466fb completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0b00d0a48190bcd1924df2786e41 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b8cda248190b88b353c1768c3d7 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c330bcc8190a7f62f0f1f3f04a0 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:38 p.m.