Triple
T34752506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ticonderoga-class cruiser |
E1001819
|
entity |
| Predicate | firstFlightShips |
—
|
GENERATED |
| Object | CG-47 to CG-51 |
—
|
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: firstFlightShips Context triple: [Ticonderoga-class cruiser, firstFlightShips, CG-47 to CG-51]
-
A.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
B.
firstShip
Indicates that the subject is the earliest or initial ship associated with, created by, or used in relation to the object.
-
C.
firstFlightType
Indicates the category or nature of an entity’s initial flight (e.g., test, commercial, cargo, passenger).
-
D.
firstFlightFrom
Indicates that one entity is the earliest (chronologically first) flight departing from a given origin or on a given route among a set of flights.
-
E.
performedFirstFlightWith
Indicates that one entity carried out its inaugural or maiden flight in conjunction with, or using, another entity.
- F. None of above. chosen
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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.