Triple
T36104976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisunov Design Bureau |
E1044327
|
entity |
| Predicate | aircraftCategoryWorkedOn |
P106917
|
FINISHED |
| Object | transport aircraft |
—
|
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: transport aircraft | Statement: [Lisunov Design Bureau, aircraftCategoryWorkedOn, transport aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftCategoryWorkedOn Context triple: [Lisunov Design Bureau, aircraftCategoryWorkedOn, transport aircraft]
-
A.
worksOnAircraft
Indicates that an entity performs work, maintenance, operation, or related tasks on an aircraft.
-
B.
aircraftCategoryProduced
chosen
Indicates that an entity (such as a manufacturer or organization) has produced aircraft belonging to a specified aircraft category.
-
C.
aircraftTypesOperated
Indicates the types or models of aircraft that an entity (such as an airline or operator) uses or operates.
-
D.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
E.
appliedToAircraftDesignedBy
Indicates that something (such as a component, system, or regulation) is applied to an aircraft that was designed by a specified designer or organization.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.