Triple
T36217311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Navy ships of the line |
E1047733
|
entity |
| Predicate | typicalGunDecks |
—
|
GENERATED |
| Object | two gun decks |
—
|
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: typicalGunDecks Context triple: [French Navy ships of the line, typicalGunDecks, two gun decks]
-
A.
gunDecks
chosen
Indicates that one entity is equipped with, contains, or is associated with the gun decks of another entity, typically referring to the levels or platforms on a vessel where guns are mounted.
-
B.
gunDeckArmament
Indicates the type or configuration of weapons mounted on a ship’s gun deck.
-
C.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
D.
quarterdeckArmament
Indicates the type or configuration of weaponry installed on a ship’s quarterdeck.
-
E.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.