Triple
T24014303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sun-and-planet gear |
E594625
|
entity |
| Predicate | hasMotionPath |
P23273
|
FINISHED |
| Object | planet gear orbits sun gear |
—
|
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: planet gear orbits sun gear | Statement: [sun-and-planet gear, hasMotionPath, planet gear orbits sun gear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotionPath Context triple: [sun-and-planet gear, hasMotionPath, planet gear orbits sun gear]
-
A.
hasVerticalMotion
Indicates that an entity is undergoing or exhibiting motion in the vertical direction (upward or downward).
-
B.
hasPathSurface
Indicates that a path is characterized by or associated with a particular type of surface.
-
C.
hasMovementType
chosen
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
D.
modelsMotionOf
Indicates that one entity provides a representation or simulation of the motion or movement behavior of another entity.
-
E.
hasAnimatedSequences
Indicates that the subject contains or includes one or more animated sequences.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a0aa408190a27fca07777cda05 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.