Triple
T19450453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asteroids |
E486600
|
entity |
| Predicate | physicsFeature |
P135943
|
FINISHED |
| Object | inertia-based ship movement |
—
|
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: inertia-based ship movement | Statement: [Asteroids, physicsFeature, inertia-based ship movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicsFeature Context triple: [Asteroids, physicsFeature, inertia-based ship movement]
-
A.
dynamicFeatures
Indicates that an entity possesses or supports features whose presence, behavior, or configuration can change at runtime or in response to varying conditions.
-
B.
performanceFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
-
C.
productionFeature
Indicates that something is a characteristic, element, or attribute involved in the process or method of producing something.
-
D.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
E.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.