Triple
T24875363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadair CT-114 Tutor |
E622552
|
entity |
| Predicate | retiredFromTrainingService |
P2644
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Canadair CT-114 Tutor, retiredFromTrainingService, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromTrainingService Context triple: [Canadair CT-114 Tutor, retiredFromTrainingService, 2000]
-
A.
retiredFromBRService
Indicates that an entity has ceased active service or operation within the British Rail (BR) system.
-
B.
retiredFrom
chosen
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
C.
retiredFromIcebreakingService
Indicates that an entity has ceased performing icebreaking operations and is no longer in active icebreaking service.
-
D.
retiredFromFrontlineService
Indicates that an entity has ceased active, primary operational duties and is no longer serving in a frontline role.
-
E.
retiredBy
Indicates that one entity has formally ended the active status, use, or service of another entity.
- F. None of above.
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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:24 a.m.