Triple
T27133635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borel set |
E681623
|
entity |
| Predicate | containsAll |
P23697
|
FINISHED |
| Object | open sets of the space |
—
|
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: open sets of the space | Statement: [Borel set, containsAll, open sets of the space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAll Context triple: [Borel set, containsAll, open sets of the space]
-
A.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
B.
areSupersetOf
chosen
Indicates that one set contains all elements of another set, possibly along with additional elements.
-
C.
occursInEvery
Indicates that the related event, state, or condition takes place within each instance of the specified context or domain, without exception.
-
D.
canonicalSetIncludes
Indicates that a canonical or standard set contains the referenced element as one of its members.
-
E.
currentContains
Indicates that one entity presently includes, encloses, or has another entity within its bounds or scope.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 9:05 a.m.