Triple
T27133776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baire space ω^ω |
E681626
|
entity |
| Predicate | isBaireSpace |
P162058
|
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: [Baire space ω^ω, isBaireSpace, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBaireSpace Context triple: [Baire space ω^ω, isBaireSpace, true]
-
A.
isBaireCategory
Indicates that a space (or set) satisfies the Baire category property, meaning countable intersections of dense open subsets remain dense in that space.
-
B.
isBorelRegular
Indicates that a measure (or set function) is Borel regular, meaning every measurable set can be closely approximated from above by Borel sets and from below by compact sets.
-
C.
isHausdorff
Indicates that a topological space satisfies the Hausdorff separation property, meaning any two distinct points can be separated by disjoint open sets.
-
D.
isNowhereDense
Indicates that a set is so sparse in the space that the closure of the set has empty interior, meaning it contains no nontrivial open subset.
-
E.
isClosedAndNowhereDense
Indicates that a set is both closed (contains all its limit points) and nowhere dense (its closure has empty interior, so it is "small" in the topological sense).
- 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_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621c7d3e0819095b1f327637ae4f9 |
completed | May 2, 2026, 4:09 p.m. |
Created at: April 27, 2026, 9:05 a.m.