Triple
T274654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Forces |
E5218
|
entity |
| Predicate | serviceUniform |
P8659
|
FINISHED |
| Object | distinct environmental uniforms for army, navy, air force |
—
|
LITERAL 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: distinct environmental uniforms for army, navy, air force | Statement: [Canadian Forces, serviceUniform, distinct environmental uniforms for army, navy, air force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceUniform Context triple: [Canadian Forces, serviceUniform, distinct environmental uniforms for army, navy, air force]
-
A.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
B.
serviceClass
Indicates the classification or category of service associated with or provided by an entity in the relationship.
-
C.
serviceLevel
Indicates the degree or quality of service provided or received in the relationship between entities.
-
D.
serviceNumber
Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
-
E.
serviceBranch
Indicates the military or organizational branch in which an entity serves or is affiliated.
- F. None of above. chosen
Provenance (4 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dd1cdf881909c2c9b77b7f88684 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7345c4819086c21710864a1b42 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.