Triple
T36835731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VK 45.01 (H) |
E910265
|
entity |
| Predicate | designedCrewPositions |
P21064
|
FINISHED |
| Object | commander |
—
|
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: commander | Statement: [VK 45.01 (H), designedCrewPositions, commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedCrewPositions Context triple: [VK 45.01 (H), designedCrewPositions, commander]
-
A.
designedCrew
Indicates that one entity is responsible for planning, organizing, or creating the crew associated with another entity.
-
B.
missionRoleCrew-1
Indicates that a crew member participates in a mission in a specific operational role or capacity.
-
C.
intendedCrew
Indicates that an entity is designated or planned to serve as the crew for another entity (such as a vehicle, mission, or operation).
-
D.
designedByPosition
Indicates that something is created or planned by an entity identified by a particular role or job position, rather than by a specific individual.
-
E.
crewType
chosen
Indicates the specific role or category of crew associated with an entity, such as the type of personnel assigned to operate or support it.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: May 3, 2026, 4:13 p.m.