Triple
T36884147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VK 30.02 (M) |
E911562
|
entity |
| Predicate | armourLayoutFeature |
P32307
|
FINISHED |
| Object | sloped armour concept |
—
|
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: sloped armour concept | Statement: [VK 30.02 (M), armourLayoutFeature, sloped armour concept]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armourLayoutFeature Context triple: [VK 30.02 (M), armourLayoutFeature, sloped armour concept]
-
A.
armourLayout
Indicates how pieces of armour are arranged or distributed relative to each other or to a subject.
-
B.
armorFeature
chosen
Indicates that one entity is a functional or descriptive feature of another entity’s armor.
-
C.
armorVariant
Indicates that one armor is a specific version, type, or modification derived from another armor.
-
D.
armourCoverage
Indicates the extent or area of a subject’s body or structure that is protected or covered by armour.
-
E.
crewLayout
Indicates how crew members are arranged or distributed within a vehicle, vessel, or structure.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6c7c308190b22cb250d2903fd0 |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.