Triple
T25842135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Carlos I-class amphibious assault ship |
E650963
|
entity |
| Predicate | amphibiousCapacity |
P159339
|
FINISHED |
| Object | conventional landing craft |
—
|
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: conventional landing craft | Statement: [Juan Carlos I-class amphibious assault ship, amphibiousCapacity, conventional landing craft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amphibiousCapacity Context triple: [Juan Carlos I-class amphibious assault ship, amphibiousCapacity, conventional landing craft]
-
A.
amphibiousCapacity
Indicates the ability of an entity to operate effectively in both water and on land.
-
B.
hasAmphibiousCapability
Indicates that an entity possesses the ability to operate effectively in both water and land environments.
-
C.
embarkedForcesCapacity
Indicates the maximum number of forces (e.g., troops or personnel) that can be embarked or carried by a given platform or unit.
-
D.
canCarryTroops
Indicates that an entity has the capability to transport troops from one location to another.
-
E.
hasNavalComponent
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
- F. None of above. chosen
Provenance (4 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f9c4c48190bfc072f720c86868 |
completed | May 2, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 7:50 a.m.