Triple
T29968983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilbert’s nineteenth problem |
E761265
|
entity |
| Predicate | typicalFormulationUses |
P11801
|
FINISHED |
| Object | Euler–Lagrange equations |
E54267
|
NE 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: Euler–Lagrange equations | Statement: [Hilbert’s nineteenth problem, typicalFormulationUses, Euler–Lagrange equations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFormulationUses Context triple: [Hilbert’s nineteenth problem, typicalFormulationUses, Euler–Lagrange equations]
-
A.
isFormulatedUsing
Indicates that something is created, defined, or expressed by means of a specified method, material, or set of components.
-
B.
formalizationUses
Indicates that one formalization or formal system makes use of, depends on, or incorporates another resource, method, or framework in its construction or application.
-
C.
exampleFormulation
Indicates that one entity serves as a representative or illustrative formulation or expression of another entity.
-
D.
widelyUsedIn
chosen
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
-
E.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
- F. None of above.
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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a031e24299c81908dcbbf1b88f43dfd |
completed | May 12, 2026, 12:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2721f5b47481908f1d4402a260fe77 |
completed | June 8, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_6a031ce232a48190b62bca3e94162f2f |
completed | May 12, 2026, 12:28 p.m. |
Created at: April 29, 2026, 6:31 p.m.