Triple
T8188869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Special Operations Regiment |
E191254
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | CFB Petawawa |
E117553
|
NE FINISHED |
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: CFB Petawawa | Statement: [Canadian Special Operations Regiment, garrison, CFB Petawawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFB Petawawa Context triple: [Canadian Special Operations Regiment, garrison, CFB Petawawa]
-
A.
CFB Petawawa
chosen
CFB Petawawa is a major Canadian Army base in Ontario that serves as a key hub for land forces training and operations.
-
B.
CFB Borden
CFB Borden is a major Canadian Armed Forces training base in Ontario that serves as a key center for army, air force, and support trades education and operations.
-
C.
CFB Gagetown
CFB Gagetown is a major Canadian Armed Forces base in New Brunswick that serves as a key training and operational hub for the army.
-
D.
CFB Shilo
CFB Shilo is a major Canadian Forces base in Manitoba known primarily as an artillery and infantry training centre.
-
E.
CFB Kingston
CFB Kingston is a major Canadian Armed Forces base in Kingston, Ontario, primarily focused on military training, communications, and education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da0e1288190b9c7c1d3b9a98830 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced8da28c81909c34c0103da68f0f |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:41 p.m.