Triple
T868916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Bubble |
E18766
|
entity |
| Predicate | hasAsComponent |
P15759
|
FINISHED |
| Object | hot ionized plasma |
—
|
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: hot ionized plasma | Statement: [Local Bubble, hasAsComponent, hot ionized plasma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAsComponent Context triple: [Local Bubble, hasAsComponent, hot ionized plasma]
-
A.
hasComponentGroup
Indicates that an entity includes or is associated with a specific group of components treated as a single unit.
-
B.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
-
C.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
hasComponentCount
Indicates that an entity is associated with a specific number of components it contains or comprises.
-
E.
hasMajorComponent
chosen
Indicates that one entity includes another entity as a primary or most significant component or part.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7f98908190883f71049092c7c8 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.