Triple
T13559632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Océan-class ship of the line |
E323869
|
entity |
| Predicate | armamentPlacement |
P101195
|
FINISHED |
| Object | guns mounted on three continuous gun decks |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: guns mounted on three continuous gun decks | Statement: [Océan-class ship of the line, armamentPlacement, guns mounted on three continuous gun decks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armamentPlacement Context triple: [Océan-class ship of the line, armamentPlacement, guns mounted on three continuous gun decks]
-
A.
armamentStations
Indicates a relationship where specific locations or mounts on a platform (such as a vehicle, vessel, or structure) are designated for installing or carrying weapons or armaments.
-
B.
armamentConfiguration
chosen
Indicates how weapons or armaments are arranged, equipped, or configured on an entity in a given context.
-
C.
armamentCategory
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
-
D.
warheadPlacement
Indicates the positioning or allocation of a warhead onto or within a specific delivery system, target, or location.
-
E.
armamentCount
Indicates the number of weapons or armaments associated with an entity.
- F. None of above.
Provenance (3 batches)
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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.