Triple
T38538109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classe Suffren |
E924753
|
entity |
| Predicate | displacementSubmergedApproximate |
P28075
|
FINISHED |
| Object | 5300 tonnes |
—
|
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: 5300 tonnes | Statement: [Classe Suffren, displacementSubmergedApproximate, 5300 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displacementSubmergedApproximate Context triple: [Classe Suffren, displacementSubmergedApproximate, 5300 tonnes]
-
A.
displacementSubmerged
chosen
Indicates the amount of fluid displaced by an object when it is submerged.
-
B.
submergedBy
Indicates that one entity is covered or overwhelmed by liquid, typically water, to the point of being beneath its surface due to the action or presence of another entity.
-
C.
rangeSubmerged_nm
Indicates the distance, measured in nautical miles, over which something remains submerged or underwater.
-
D.
submergedPercentage
Indicates the proportion of an object’s total volume or height that is below the surface of a surrounding fluid or medium.
-
E.
partiallySubmerged
Indicates that one entity is located such that only a portion of it is below the surface of a surrounding medium (typically a liquid), while the rest remains above.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e7f334819094f21b6af81b5e20 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.