Triple
T27028739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Navy personnel |
E680856
|
entity |
| Predicate | officerTrainingProvidedBy |
P40765
|
FINISHED |
| Object | United States Naval Academy |
—
|
NE NERFINISHED |
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: United States Naval Academy | Statement: [U.S. Navy personnel, officerTrainingProvidedBy, United States Naval Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officerTrainingProvidedBy Context triple: [U.S. Navy personnel, officerTrainingProvidedBy, United States Naval Academy]
-
A.
providesTrainingFor
chosen
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
B.
militaryTrainingType
Indicates the specific kind or category of military training associated with an entity or event.
-
C.
militaryBranchSupervised
Indicates that one military branch has authority over, or is responsible for overseeing and directing, another military branch.
-
D.
isTrainedBy
Indicates that one entity receives training, instruction, or coaching from another entity.
-
E.
jurisdictionOfTraining
Indicates the legal or regulatory authority under which the training is conducted or recognized.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 27, 2026, 7:12 a.m.