Triple
T28880757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starobinsky R^2 inflation model |
E732409
|
entity |
| Predicate | hasPotentialShape |
P104162
|
FINISHED |
| Object | plateau-like potential in the Einstein frame |
—
|
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: plateau-like potential in the Einstein frame | Statement: [Starobinsky R^2 inflation model, hasPotentialShape, plateau-like potential in the Einstein frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPotentialShape Context triple: [Starobinsky R^2 inflation model, hasPotentialShape, plateau-like potential in the Einstein frame]
-
A.
hasPotential
Indicates that an entity possesses the capacity or possibility to develop, achieve, or exhibit a particular state, quality, or outcome in the future.
-
B.
hasShapeModel
chosen
Indicates that an entity is associated with a specific geometric or structural shape model that represents its form.
-
C.
hasOuterShape
Indicates that one entity possesses or exhibits the external geometric form or contour specified by another entity.
-
D.
hasArchShape
Indicates that something possesses or exhibits an arched or curved shape.
-
E.
hasApproximateShape
Indicates that one entity has a shape that is similar to, but not exactly the same as, the shape of another entity.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 28, 2026, 7:43 a.m.