Triple
T31431367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas Cheetah |
E801805
|
entity |
| Predicate | retiredFromSouthAfricanAirForce |
P2644
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Atlas Cheetah, retiredFromSouthAfricanAirForce, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromSouthAfricanAirForce Context triple: [Atlas Cheetah, retiredFromSouthAfricanAirForce, 2008]
-
A.
retiredFromRAAFService
Indicates that an individual has ended or concluded their period of service in the Royal Australian Air Force.
-
B.
retiredFromBritishArmy
Indicates that an individual has ended their active service and formally left the British Army.
-
C.
retiredFromCanadianForces
Indicates that an individual has ended their service or career in the Canadian Armed Forces.
-
D.
retiredFromUSMilitary
Indicates that an individual previously served in the United States military and has formally ended their military career or service.
-
E.
retiredFrom
chosen
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 8:57 p.m.