Triple
T27684909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Orbital Segment |
E698000
|
entity |
| Predicate | supportsVehicleDocking |
P110896
|
FINISHED |
| Object | Shenzhou crewed spacecraft |
—
|
NE NERFINISHED |
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: Shenzhou crewed spacecraft | Statement: [Chinese Orbital Segment, supportsVehicleDocking, Shenzhou crewed spacecraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsVehicleDocking Context triple: [Chinese Orbital Segment, supportsVehicleDocking, Shenzhou crewed spacecraft]
-
A.
hasDockingCapability
Indicates that an entity is capable of connecting or docking with another compatible entity or system.
-
B.
dockingSystemCompatibility
Indicates that two docking systems are capable of physically connecting and operating together as intended.
-
C.
hasDockingFacilities
chosen
Indicates that one entity provides or is equipped with docking facilities for another entity.
-
D.
canSupportManualDocking
Indicates that one entity is capable of supporting or enabling manual docking operations with another entity.
-
E.
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.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 27, 2026, 2:49 p.m.