Triple
T26597041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearless-class patrol vessel |
E667516
|
entity |
| Predicate | hasSubclasses |
P170086
|
FINISHED |
| Object | first-generation Fearless-class patrol vessel |
—
|
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: first-generation Fearless-class patrol vessel | Statement: [Fearless-class patrol vessel, hasSubclasses, first-generation Fearless-class patrol vessel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubclasses Context triple: [Fearless-class patrol vessel, hasSubclasses, first-generation Fearless-class patrol vessel]
-
A.
hasMultipleSubclasses
Indicates that a class or category is related to more than one distinct subclass within a hierarchy.
-
B.
hasMutableSubclass
Indicates that a class has at least one subclass whose instances can be changed or modified after creation.
-
C.
subordinateClasses
chosen
Indicates that certain classes are hierarchically below or dependent on another class within an organizational or classification structure.
-
D.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
-
E.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 27, 2026, 2:10 a.m.