Triple
T29684372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Training Air Wing EIGHT |
E751042
|
entity |
| Predicate | studentTypeTrained |
P24513
|
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 EIGHT, studentTypeTrained, student naval aviators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentTypeTrained Context triple: [Training Air Wing EIGHT, studentTypeTrained, student naval aviators]
-
A.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
B.
hasTrainedAt
Indicates that an entity has received training, education, or instruction at a specified place or institution.
-
C.
hasTrainingType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of training.
-
D.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
E.
hasEducationalStatus
Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
- 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_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:12 p.m.