Triple
T7603825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 33rd Fighter Wing |
E180050
|
entity |
| Predicate | alliedTraining |
P40765
|
FINISHED |
| Object | trains U.S. Air Force F-35 personnel |
—
|
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: trains U.S. Air Force F-35 personnel | Statement: [33rd Fighter Wing, alliedTraining, trains U.S. Air Force F-35 personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alliedTraining Context triple: [33rd Fighter Wing, alliedTraining, trains U.S. Air Force F-35 personnel]
-
A.
providesTrainingFor
chosen
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
B.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
C.
alliedUnit
Indicates that one unit is associated as an ally or cooperative partner with another unit, typically sharing goals or working together.
-
D.
alliedForces
Indicates that multiple entities are cooperating militarily or strategically as part of the same alliance or coalition.
-
E.
alliedDesignation
Indicates that one entity assigns or recognizes an allied status or designation for another entity.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fbd1408190b721bf016f997c7b |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.