Triple
T1489618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian curvature |
E29546
|
entity |
| Predicate | exampleSurfaceWithZeroCurvature |
P1242
|
FINISHED |
| Object | plane |
—
|
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: plane | Statement: [Gaussian curvature, exampleSurfaceWithZeroCurvature, plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleSurfaceWithZeroCurvature Context triple: [Gaussian curvature, exampleSurfaceWithZeroCurvature, plane]
-
A.
allowsSpatialCurvature
Indicates that one entity permits or enables the presence or variation of spatial curvature in relation to another entity or context.
-
B.
hasCurvatureInvariant
Indicates that one entity possesses a specific curvature-related invariant property or value associated with its geometric or mathematical structure.
-
C.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
hasCurvatureDivergence
Indicates that one entity exhibits a difference or variation in curvature relative to another entity or reference.
-
E.
geodesicsAre
Indicates that certain paths or curves in a space are geodesics, i.e., they locally minimize distance or follow the straightest possible trajectory according to the space’s geometry.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a6095481909e9d406ac9a41828 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.