Triple
T1301130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing KC-46 Pegasus |
E27765
|
entity |
| Predicate | additionalCrew |
P21064
|
FINISHED |
| Object | 1 boom operator |
—
|
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: 1 boom operator | Statement: [Boeing KC-46 Pegasus, additionalCrew, 1 boom operator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: additionalCrew Context triple: [Boeing KC-46 Pegasus, additionalCrew, 1 boom operator]
-
A.
crew
Indicates that one entity serves as the group of people who operate, staff, or work on another entity (such as a vehicle, vessel, or production).
-
B.
crewInvolvedIn
Indicates that a crew (as a group or unit) participates in, contributes to, or is otherwise involved in a specified event, activity, or operation.
-
C.
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.
-
D.
totalCrewMembers
Indicates the total number of crew members associated with a given entity or context.
-
E.
hasCrewCapacity
Indicates that an entity is capable of accommodating a specified number of crew members.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c1145c2481908adf22dfd6ce349b |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.