Triple
T27412171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Morozov |
E692181
|
entity |
| Predicate | designedComponent |
P57584
|
FINISHED |
| Object | hull layout of the T-34 |
—
|
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: hull layout of the T-34 | Statement: [Alexander Morozov, designedComponent, hull layout of the T-34]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedComponent Context triple: [Alexander Morozov, designedComponent, hull layout of the T-34]
-
A.
designedObject
Indicates that one entity is the creator or designer of another entity as its intended product or outcome.
-
B.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
C.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
D.
developsComponentFor
Indicates that one entity creates or builds a component intended to be used by or within another entity.
-
E.
designedAsPartOfSystemBy
Indicates that an entity was intentionally created as a component or module within a larger system by a specific designer or designing agent.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 12:32 p.m.