Triple
T37969532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis S. Gabreski |
E947240
|
entity |
| Predicate | numberOfAerialVictoriesKoreanWar |
—
|
GENERATED |
| Object | 6.5 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAerialVictoriesKoreanWar Context triple: [Francis S. Gabreski, numberOfAerialVictoriesKoreanWar, 6.5]
-
A.
numberOfAerialVictories
chosen
Indicates the count of successful aerial combat victories achieved by an entity over opposing aircraft.
-
B.
estimatedAerialVictories
Indicates an approximate count of aerial combat victories attributed to an entity, rather than an exact, confirmed total.
-
C.
battleStarsKoreanWar
Indicates that an entity received battle stars for its participation in the Korean War.
-
D.
sideInKoreanWar
Indicates that an entity participated as a belligerent on a particular side in the Korean War.
-
E.
numberOfDeploymentsToKorea
Indicates the count of times an entity has been deployed to Korea.
- F. None of above.
Provenance (1 batch)
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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.