Triple
T25073703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euler class |
E627991
|
entity |
| Predicate | isNonzeroIf |
P159412
|
FINISHED |
| Object | no global nowhere-vanishing section exists |
—
|
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: no global nowhere-vanishing section exists | Statement: [Euler class, isNonzeroIf, no global nowhere-vanishing section exists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonzeroIf Context triple: [Euler class, isNonzeroIf, no global nowhere-vanishing section exists]
-
A.
isNonzeroFor
Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
-
B.
isNonZeroBecause
Indicates that a value is non-zero specifically due to the stated cause, reason, or contributing factor.
-
C.
isZeroIf
Indicates that a value or expression becomes zero when a specified condition holds or a particular argument takes a given value.
-
D.
isNonZeroPositiveInteger
Indicates that a value is an integer greater than zero (i.e., a positive whole number not equal to zero).
-
E.
isZeroFor
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 6:20 a.m.