Triple
T24065184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sullivan minimal model |
E596068
|
entity |
| Predicate | hasDifferential |
P154718
|
FINISHED |
| Object | degree +1 differential |
—
|
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: degree +1 differential | Statement: [Sullivan minimal model, hasDifferential, degree +1 differential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifferential Context triple: [Sullivan minimal model, hasDifferential, degree +1 differential]
-
A.
isDifferential
Indicates that one quantity represents the infinitesimal change or derivative of another with respect to a given variable.
-
B.
hasDifferentials
Indicates that one entity possesses or is associated with differential components, mechanisms, or calculations relative to another entity.
-
C.
hasDifferentialForm
Indicates that one entity is associated with, or can be represented by, a specific differential form in a mathematical or geometric context.
-
D.
hasDelta
Indicates that there is a change, difference, or deviation between two related states, values, or versions of something.
-
E.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5aa1a48190afec72bbcfd379c3 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:39 p.m.