Triple
T795807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyson sphere concept |
E17016
|
entity |
| Predicate | DysonBubbleDefinition |
P19228
|
FINISHED |
| Object | set of statites using light pressure to hover around a star |
—
|
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: set of statites using light pressure to hover around a star | Statement: [Dyson sphere concept, DysonBubbleDefinition, set of statites using light pressure to hover around a star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DysonBubbleDefinition Context triple: [Dyson sphere concept, DysonBubbleDefinition, set of statites using light pressure to hover around a star]
-
A.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
B.
fanType
Indicates the specific category or kind of fan associated with an entity, such as its design, purpose, or operating principle.
-
C.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
D.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
E.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
- F. None of above. chosen
Provenance (4 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b04cd8819092e2fd7ba4df8672 |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5edd0248190bd0240e5b3e67c71 |
completed | March 1, 2026, 8:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.