Triple
T37860548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | product logarithm |
E944313
|
entity |
| Predicate | valueAtMinusOneOverE |
P189290
|
FINISHED |
| Object | W(-1/e) = -1 |
—
|
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: W(-1/e) = -1 | Statement: [product logarithm, valueAtMinusOneOverE, W(-1/e) = -1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueAtMinusOneOverE Context triple: [product logarithm, valueAtMinusOneOverE, W(-1/e) = -1]
-
A.
valuesAtEvenIntegers
Indicates that the relationship or function is evaluated specifically at even integer input values.
-
B.
baseOfExponentialTerm
Indicates that one quantity serves as the base in an exponential expression or term involving another quantity as the exponent.
-
C.
residueAt1
Indicates that one entity is the residue located at position 1 in a sequence or structural context relative to another entity.
-
D.
derivativeAtZero
Indicates that one quantity is the derivative (rate of change) of another quantity evaluated specifically at the point where the input equals zero.
-
E.
exponent
Indicates that one quantity is raised to the power of another, expressing repeated multiplication of a base by itself.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.