Triple
T38330477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry DeWolf-class |
E1037807
|
entity |
| Predicate | numberOfShipsForRCN |
—
|
GENERATED |
| Object | 6 |
—
|
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: numberOfShipsForRCN Context triple: [Harry DeWolf-class, numberOfShipsForRCN, 6]
-
A.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
-
B.
countryNavalForce
Indicates that a country possesses, controls, or is associated with a particular naval military force.
-
C.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
D.
navalCountry
Indicates that a country possesses or operates a navy, signifying its involvement in naval or maritime military activities.
-
E.
navalArmament
Indicates that one entity serves as the naval weaponry or sea-based military equipment of another entity.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:30 p.m.