Triple
T16229652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VSS Inspire |
E393944
|
entity |
| Predicate | spaceTourismMarket |
P74623
|
FINISHED |
| Object | high-net-worth individuals |
—
|
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: high-net-worth individuals | Statement: [VSS Inspire, spaceTourismMarket, high-net-worth individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceTourismMarket Context triple: [VSS Inspire, spaceTourismMarket, high-net-worth individuals]
-
A.
spaceTourism
chosen
Indicates commercial travel or recreational trips by people to outer space or space-related environments.
-
B.
spaceAgencyCustomer
Indicates a relationship where one entity is a customer that purchases or contracts services from a space agency.
-
C.
spaceflight
Indicates the undertaking of travel or transportation beyond Earth’s atmosphere, typically via spacecraft operating in outer space.
-
D.
spaceSegment
Indicates that one entity is a space-based component or portion of a larger system or infrastructure associated with the other entity.
-
E.
spaceProgram
Indicates that an entity is involved in, operates, or is associated with an organized program dedicated to space exploration, research, or related activities.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.