Triple
T13523484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Kidd |
E322958
|
entity |
| Predicate | NavyRegistry |
P110677
|
FINISHED |
| Object | United States Navy destroyer registry |
—
|
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: United States Navy destroyer registry | Statement: [USS Kidd, NavyRegistry, United States Navy destroyer registry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NavyRegistry Context triple: [USS Kidd, NavyRegistry, United States Navy destroyer registry]
-
A.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
B.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
C.
fleetName
Indicates the name assigned to a particular fleet within a system or context.
-
D.
fleetFlagshipOf
Indicates that one entity serves as the primary or leading flagship of a particular fleet.
-
E.
USNDesignation
Indicates the formal designation assigned by the United States Navy to identify and classify a ship, aircraft, or other naval asset.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa535cc81908d0018fef81a2848 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:44 p.m.