Triple
T2546130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon 1 |
E57905
|
entity |
| Predicate | dockingMethod |
P14981
|
FINISHED |
| Object | berthing via Canadarm2 |
—
|
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: berthing via Canadarm2 | Statement: [Dragon 1, dockingMethod, berthing via Canadarm2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dockingMethod Context triple: [Dragon 1, dockingMethod, berthing via Canadarm2]
-
A.
dockingSystem
Indicates a relationship where one structure or vehicle is equipped with or connected to a system that enables secure docking with another compatible structure or vehicle.
-
B.
dockingDate
Indicates the date on which one entity physically docks with or is scheduled to dock with another (e.g., a vehicle, vessel, or spacecraft).
-
C.
berthingOrDockingTarget
Indicates that an entity serves as the location or structure where a vessel or vehicle is intended to berth or dock.
-
D.
operatedDock
Indicates that an entity managed or controlled the functioning of a dock or docking facility.
-
E.
berthingSystem
chosen
Indicates a system or mechanism used to dock, moor, or secure one vehicle, vessel, or structure to another.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e5152c8190b31a5e732d0dde44 |
completed | March 7, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.