Triple
T38538104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classe Suffren |
E924753
|
entity |
| Predicate | firstBoatLaunched |
—
|
GENERATED |
| Object | 2019 |
—
|
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: firstBoatLaunched Context triple: [Classe Suffren, firstBoatLaunched, 2019]
-
A.
firstLaunchedAboard
Indicates that an object or entity was initially launched while being carried on or aboard a specified vehicle, platform, or vessel.
-
B.
vesselLaunched
Indicates that a vessel has been formally set afloat or put into operation at a specific time or place.
-
C.
usedBoatClassForFirstTime
chosen
Indicates that an entity is using a particular class of boat for the first time.
-
D.
originalShipLaunchedIn
Indicates that an original ship was first launched in a specified year, place, or context.
-
E.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.