Triple
T3834102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpaceShipTwo |
E91085
|
entity |
| Predicate | operationalVehicle |
P12443
|
FINISHED |
| Object |
VSS Inspire
VSS Inspire is a suborbital spaceplane in Virgin Galactic’s SpaceShipTwo fleet designed to carry tourists and research payloads to the edge of space.
|
E393944
|
NE FINISHED |
How this triple was built (4 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 Inspire | Statement: [SpaceShipTwo, operationalVehicle, VSS Inspire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VSS Inspire Context triple: [SpaceShipTwo, operationalVehicle, VSS Inspire]
-
A.
VSS Unity
VSS Unity is Virgin Galactic’s suborbital spaceplane designed for commercial space tourism flights.
-
B.
VSP
VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
-
C.
Synapse Studio
Synapse Studio is the unified, web-based workspace in Azure Synapse Analytics for developing, managing, and monitoring data integration, big data, and analytics solutions.
-
D.
P2V Neptune
P2V Neptune is a Cold War-era American maritime patrol and anti-submarine warfare aircraft developed by Lockheed and widely used by the U.S. Navy and allied forces.
-
E.
Siemens Inspiro
Siemens Inspiro is a modern, modular metro train platform developed by Siemens for urban rapid transit systems worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VSS Inspire Triple: [SpaceShipTwo, operationalVehicle, VSS Inspire]
Generated description
VSS Inspire is a suborbital spaceplane in Virgin Galactic’s SpaceShipTwo fleet designed to carry tourists and research payloads to the edge of space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VSS Inspire Target entity description: VSS Inspire is a suborbital spaceplane in Virgin Galactic’s SpaceShipTwo fleet designed to carry tourists and research payloads to the edge of space.
-
A.
VSS Unity
VSS Unity is Virgin Galactic’s suborbital spaceplane designed for commercial space tourism flights.
-
B.
VSP
VSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety in the Commonwealth of Virginia.
-
C.
Synapse Studio
Synapse Studio is the unified, web-based workspace in Azure Synapse Analytics for developing, managing, and monitoring data integration, big data, and analytics solutions.
-
D.
P2V Neptune
P2V Neptune is a Cold War-era American maritime patrol and anti-submarine warfare aircraft developed by Lockheed and widely used by the U.S. Navy and allied forces.
-
E.
Siemens Inspiro
Siemens Inspiro is a modern, modular metro train platform developed by Siemens for urban rapid transit systems worldwide.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69b507be443c8190ad7542f7b897de50 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5092c2460819087188184be28290b |
completed | March 14, 2026, 7:07 a.m. |
Created at: March 9, 2026, 3:17 p.m.