Triple
T3834101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpaceShipTwo |
E91085
|
entity |
| Predicate | operationalVehicle |
P12443
|
FINISHED |
| Object | VSS Imagine |
E91086
|
NE 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: VSS Imagine | Statement: [SpaceShipTwo, operationalVehicle, VSS Imagine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VSS Imagine Context triple: [SpaceShipTwo, operationalVehicle, VSS Imagine]
-
A.
VSS Unity
chosen
VSS Unity is Virgin Galactic’s suborbital spaceplane designed for commercial space tourism flights.
-
B.
VS
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
C.
VMS
VMS is a multiuser, multitasking operating system originally created by Digital Equipment Corporation for its VAX minicomputers, known for its robustness, security features, and influence on later systems like Windows NT.
-
D.
VMS
VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
-
E.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef90ce3088190b82e8421ce9a4005 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503ffab6c81909d64a11511693c1f |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.