Triple
T28874699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lekiu-class frigate |
E732233
|
entity |
| Predicate | dieselEngineType |
P56323
|
FINISHED |
| Object | MTU diesel engines |
—
|
NE NERFINISHED |
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: MTU diesel engines | Statement: [Lekiu-class frigate, dieselEngineType, MTU diesel engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dieselEngineType Context triple: [Lekiu-class frigate, dieselEngineType, MTU diesel engines]
-
A.
engineTypeUsed
chosen
Indicates that a particular type of engine is employed or utilized in relation to a specified entity or system.
-
B.
engineTypeIncluded
Indicates that a specified engine type is included as part of, or supported within, another entity or configuration.
-
C.
originalEngineType
Indicates the type or category of engine that an entity was initially or first equipped with.
-
D.
engineTypeBuilt
Indicates that a specific type of engine has been constructed or manufactured by a particular entity.
-
E.
exhaustType
Indicates the specific kind or configuration of exhaust system 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a4a48888190b3c1bc721712ae71 |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:36 a.m.