Triple
T11098892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clebsch diagonal surface |
E262450
|
entity |
| Predicate | hasEquationForm |
P97265
|
FINISHED |
| Object | sum x_i = 0 and sum x_i^3 = 0 in P^4 |
—
|
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: sum x_i = 0 and sum x_i^3 = 0 in P^4 | Statement: [Clebsch diagonal surface, hasEquationForm, sum x_i = 0 and sum x_i^3 = 0 in P^4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEquationForm Context triple: [Clebsch diagonal surface, hasEquationForm, sum x_i = 0 and sum x_i^3 = 0 in P^4]
-
A.
hasEquationSide
Indicates a relationship where a particular expression or term belongs to a specific side (e.g., left or right) of an equation.
-
B.
supportsEquations
Indicates that one entity provides the capability to handle, display, or work with mathematical equations for another entity or within a given context.
-
C.
hasEquationOfMotion
Indicates that one entity specifies or is associated with the equation of motion governing the dynamical behavior of another entity.
-
D.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
E.
hasClosedForm
Indicates that a mathematical expression, function, or solution can be written in a finite, explicit form using a standard set of operations and well-known functions.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0c46308190889b94c23ebaca62 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.