Triple
T27133645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borel set |
E681623
|
entity |
| Predicate | notEverySubsetIs |
P161882
|
FINISHED |
| Object | Borel set (in uncountable Polish spaces) |
—
|
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: Borel set (in uncountable Polish spaces) | Statement: [Borel set, notEverySubsetIs, Borel set (in uncountable Polish spaces)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notEverySubsetIs Context triple: [Borel set, notEverySubsetIs, Borel set (in uncountable Polish spaces)]
-
A.
notClosedUnder
Indicates that applying the operation or relation to elements of a set can produce results that do not belong to that set, so the set is not closed under that operation or relation.
-
B.
subset
Indicates that all elements of one set are contained within another set.
-
C.
coreSubset
Indicates that one set forms the essential or most important subset of another set, capturing its core elements.
-
D.
notFullyAdoptedIn
Indicates that something has not been completely or universally implemented, accepted, or put into practice within a specified context or domain.
-
E.
notKnownToBeClosedUnder
Indicates that a given operation or property is not established or proven to preserve membership within a specified set when applied to its elements.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62478fd0c81909b7de1d72aa0e2c0 |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:05 a.m.