Triple
T29684342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Training Air Wing ONE |
E751041
|
entity |
| Predicate | studentTypesTrained |
P40765
|
FINISHED |
| Object | student naval aviators |
—
|
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: student naval aviators | Statement: [Training Air Wing ONE, studentTypesTrained, student naval aviators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentTypesTrained Context triple: [Training Air Wing ONE, studentTypesTrained, student naval aviators]
-
A.
receivedTrainingIn
Indicates that one entity has undergone or been provided with training or instruction in a particular field, skill, or subject associated with another entity.
-
B.
providesTrainingFor
chosen
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
C.
hasTrainingType
Indicates that an entity is associated with or characterized by a specific type or category of training.
-
D.
hasTrainedAt
Indicates that an entity has received training, education, or instruction at a specified place or institution.
-
E.
studentsExaminedBy
Indicates that one or more students are evaluated, tested, or examined by a particular examiner or authority.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6728e59f881909bcc0068f136ab11 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:12 p.m.