Triple
T2277137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 21 SAS |
E51195
|
entity |
| Predicate | trainingStatus |
P36516
|
FINISHED |
| Object | part-time reserve with regular training commitments |
—
|
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: part-time reserve with regular training commitments | Statement: [21 SAS, trainingStatus, part-time reserve with regular training commitments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingStatus Context triple: [21 SAS, trainingStatus, part-time reserve with regular training commitments]
-
A.
automationStatus
Indicates whether a process, task, or system is being performed automatically or requires manual intervention.
-
B.
programStatus
Indicates the current state or condition of a program within its lifecycle (e.g., planned, active, paused, completed, or terminated).
-
C.
training
Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
-
D.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
-
E.
testStatus
Indicates the current outcome or state of a test, such as whether it has passed, failed, or is still in progress.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:48 p.m.