Triple

T17121512
Position Surface form Disambiguated ID Type / Status
Subject N348MS E415476 entity
Predicate launchVehicleCarried P4020 FINISHED
Object VSS Enterprise E393943 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 Enterprise | Statement: [N348MS, launchVehicleCarried, VSS Enterprise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VSS Enterprise
Context triple: [N348MS, launchVehicleCarried, VSS Enterprise]
  • A. VSS Enterprise chosen
    VSS Enterprise was the first SpaceShipTwo suborbital spaceplane built by Virgin Galactic for commercial space tourism test flights.
  • B. VSS Unity
    VSS Unity is Virgin Galactic’s suborbital spaceplane designed for commercial space tourism flights.
  • C. 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.
  • D. Visual SourceSafe
    Visual SourceSafe is a discontinued Microsoft version control system that was widely used in the 1990s and early 2000s for managing source code in small to medium-sized software projects.
  • E. Volume Shadow Copy Service
    Volume Shadow Copy Service is a Windows technology that creates point-in-time snapshots of files or volumes, enabling backup and recovery even while data is in use.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e809ee888190a2cf69d59c0b9c20 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.