Triple
T23833001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Pursuit of the Unknown: 17 Equations That Changed the World |
E589565
|
entity |
| Predicate | numberOfEquationsDiscussed |
P48686
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [In Pursuit of the Unknown: 17 Equations That Changed the World, numberOfEquationsDiscussed, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEquationsDiscussed Context triple: [In Pursuit of the Unknown: 17 Equations That Changed the World, numberOfEquationsDiscussed, 17]
-
A.
numberOfEquations
chosen
Indicates the total count of equations associated with or involved in a given entity or context.
-
B.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
-
C.
numberOfUnknowns
Indicates the count of variables or elements in a situation, equation, or problem whose values are not yet determined or specified.
-
D.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
E.
MaxwellEquationNumber
Indicates which specific numbered Maxwell equation (from the standard set of Maxwell’s equations) a given statement, formula, or representation corresponds to.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f7aa488190b1bc5cab77a11123 |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:06 p.m.