Triple
T28880754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starobinsky R^2 inflation model |
E732409
|
entity |
| Predicate | canBeRewrittenAs |
P28179
|
FINISHED |
| Object | Einstein gravity plus scalar field (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: Einstein gravity plus scalar field (Einstein frame) | Statement: [Starobinsky R^2 inflation model, canBeRewrittenAs, Einstein gravity plus scalar field (Einstein frame)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeRewrittenAs Context triple: [Starobinsky R^2 inflation model, canBeRewrittenAs, Einstein gravity plus scalar field (Einstein frame)]
-
A.
laterRewrittenAs
Indicates that an earlier work, version, or expression was subsequently rewritten or replaced by a later one.
-
B.
mayBeReplacedBy
chosen
Indicates that one entity can potentially be substituted or superseded by another entity.
-
C.
canBeRenamedTo
Indicates that one entity is allowed or able to have its name changed to match another specified name or identifier.
-
D.
canBeOptimizedFor
Indicates that one entity is capable of being improved or adjusted to perform better with respect to another specified criterion, context, or target.
-
E.
canBeImplementedWith
Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application 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_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 28, 2026, 7:43 a.m.