Triple
T32258827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koksma–Hlawka inequality |
E824092
|
entity |
| Predicate | isNonProbabilistic |
P51462
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Koksma–Hlawka inequality, isNonProbabilistic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonProbabilistic Context triple: [Koksma–Hlawka inequality, isNonProbabilistic, true]
-
A.
isDeterministic
chosen
Indicates that the outcome of a process or function is fully determined by its inputs, with no randomness or variation between executions.
-
B.
isNonPeriodic
Indicates that the subject does not occur, repeat, or follow a pattern at regular intervals over time.
-
C.
isNonJudicial
Indicates that an action, process, or decision occurs outside of formal judicial proceedings and is not carried out by a court or judge.
-
D.
isNonUniform
Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
-
E.
isNonparametricVersionOf
Indicates that one method or model is the nonparametric counterpart or analogue of another, typically parametric, method or model.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc5652e08190b519631b7d497e75 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:41 a.m.