Triple
T12070497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | f(R) gravity |
E287409
|
entity |
| Predicate | canBeReformulatedAs |
P90301
|
FINISHED |
| Object | scalar–tensor theory |
—
|
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: scalar–tensor theory | Statement: [f(R) gravity, canBeReformulatedAs, scalar–tensor theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeReformulatedAs Context triple: [f(R) gravity, canBeReformulatedAs, scalar–tensor theory]
-
A.
isFormulatedUsing
Indicates that something is created, defined, or expressed by means of a specified method, material, or set of components.
-
B.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
-
C.
mathematicallyReformulatedBy
Indicates that one entity has been expressed again in a different or more formal mathematical form by another entity.
-
D.
hasEquivalentFormulation
chosen
Indicates that two representations, statements, or formulations express the same underlying meaning, condition, or effect, even if they differ in form.
-
E.
hasCanonicalFormulation
Indicates that one entity is the standard or officially accepted formulation or expression 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.