Triple
T2070973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 45 destroyer |
E44813
|
entity |
| Predicate | allElectricShip |
P34753
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Type 45 destroyer, allElectricShip, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allElectricShip Context triple: [Type 45 destroyer, allElectricShip, yes]
-
A.
hasAmphibiousCapability
Indicates that an entity possesses the ability to operate effectively in both water and land environments.
-
B.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
C.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
D.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
E.
otherShipsInFleet
Indicates that the subject ship and the object ship are distinct members of the same fleet.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0d20bc8190b19a32157f8b1607 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:41 p.m.