Triple
T4618090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop I superbubble |
E100914
|
entity |
| Predicate | hasKinematics |
P20339
|
FINISHED |
| Object | expansion away from Sco–Cen region |
—
|
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: expansion away from Sco–Cen region | Statement: [Loop I superbubble, hasKinematics, expansion away from Sco–Cen region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKinematics Context triple: [Loop I superbubble, hasKinematics, expansion away from Sco–Cen region]
-
A.
hasKinematicProperty
chosen
Indicates that an entity possesses a specific motion-related characteristic, such as velocity, acceleration, or trajectory.
-
B.
hasCenterOfMassMomentum
Indicates that one entity possesses or is characterized by a specific value of momentum associated with its center of mass.
-
C.
hasSkeleton
Indicates that an entity possesses a skeleton as part of its bodily structure.
-
D.
hasDegreeOfFreedom
Indicates that one entity possesses a specific independent parameter or mode in which it can vary or move relative to another entity or within a system.
-
E.
hasKPoint
Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.