Triple
T10725086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 122nd Regiment Regional Training Institute |
E252920
|
entity |
| Predicate | scopeOfTraining |
P28135
|
FINISHED |
| Object | professional military education |
—
|
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: professional military education | Statement: [122nd Regiment Regional Training Institute, scopeOfTraining, professional military education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfTraining Context triple: [122nd Regiment Regional Training Institute, scopeOfTraining, professional military education]
-
A.
scopeOfTeaching
Indicates the range, subjects, or areas that a teaching activity, role, or responsibility covers.
-
B.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
C.
leadsToTrainingAt
Indicates that one entity causes, results in, or serves as a pathway to another entity undergoing training.
-
D.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
-
E.
trainingDomain
chosen
Indicates that an entity is associated with or operates within a particular field, area, or domain of training.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d473cfc8190b0ea6dbec14ee070 |
completed | April 9, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.