Triple
T27133770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baire space ω^ω |
E681626
|
entity |
| Predicate | isNonLocallyCompact |
P161880
|
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, isNonLocallyCompact, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonLocallyCompact Context triple: [Baire space ω^ω, isNonLocallyCompact, true]
-
A.
isLocallyCompact
Indicates that a topological space has the property that every point has a neighborhood whose closure is compact.
-
B.
isNowhereLocallyCompact
chosen
Indicates that the space has no point with a neighborhood that is locally compact, i.e., it is not locally compact at any location.
-
C.
isNoncompact
Indicates that the object (such as a space or set) lacks compactness, meaning it does not satisfy the property that every open cover has a finite subcover.
-
D.
isLocallyFinite
Indicates that every element or point in a structure has only finitely many related or interacting elements within any bounded or local region.
-
E.
isQuasiCompact
Indicates that a space or object has the property that every open cover admits a finite subcover, or an analogous finiteness/compactness condition in its context.
- 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_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 9:05 a.m.