Triple
T20635539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Flag exercises |
E507065
|
entity |
| Predicate | exerciseFocus |
P140853
|
FINISHED |
| Object | air-to-air combat |
—
|
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: air-to-air combat | Statement: [Maple Flag exercises, exerciseFocus, air-to-air combat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exerciseFocus Context triple: [Maple Flag exercises, exerciseFocus, air-to-air combat]
-
A.
exercise
Indicates that an entity engages in physical activity or training, typically to improve health, fitness, or performance.
-
B.
exerciseOf
Indicates the performance or carrying out of a right, power, function, or activity by an entity.
-
C.
exerciseNature
Indicates that an entity engages in or is characterized by a particular type or manner of physical exercise or activity.
-
D.
coreExercise
Indicates that an exercise primarily targets and engages the muscles of the core or midsection.
-
E.
exercisesWith
Indicates that two or more entities engage in physical exercise or workout activities together.
- F. None of above. chosen
Provenance (4 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0f5a88819090c1516f5543f3d4 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:42 a.m.