Triple
T399154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandr Vasilevsky |
E9239
|
entity |
| Predicate | hasPartOrComponent |
P35
|
FINISHED |
| Object | career spanning prewar, wartime, and postwar Soviet military service |
—
|
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: career spanning prewar, wartime, and postwar Soviet military service | Statement: [Aleksandr Vasilevsky, hasPartOrComponent, career spanning prewar, wartime, and postwar Soviet military service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartOrComponent Context triple: [Aleksandr Vasilevsky, hasPartOrComponent, career spanning prewar, wartime, and postwar Soviet military service]
-
A.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
C.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8d0ca881909d786e8eed9b6748 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.