Triple
T868914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Bubble |
E18766
|
entity |
| Predicate | hasKinematicRelationWith |
P7348
|
FINISHED |
| Object | motion of the Sun through the local interstellar medium |
—
|
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: motion of the Sun through the local interstellar medium | Statement: [Local Bubble, hasKinematicRelationWith, motion of the Sun through the local interstellar medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKinematicRelationWith Context triple: [Local Bubble, hasKinematicRelationWith, motion of the Sun through the local interstellar medium]
-
A.
isBackboneOf
Indicates that one entity forms the main supporting structure or central framework upon which another entity fundamentally depends.
-
B.
datumRelation
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
C.
relativeMotionType
chosen
Indicates the type or nature of motion occurring between two entities relative to one another.
-
D.
semanticRelation
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
-
E.
hasPhaseRelation
Indicates that two entities are related by a specific phase difference or phase alignment in time or a cyclical process.
- 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.