Triple
T27133596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baire space |
E681622
|
entity |
| Predicate | isUniversalFor |
P9765
|
FINISHED |
| Object | Polish spaces via continuous open surjections |
—
|
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: Polish spaces via continuous open surjections | Statement: [Baire space, isUniversalFor, Polish spaces via continuous open surjections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniversalFor Context triple: [Baire space, isUniversalFor, Polish spaces via continuous open surjections]
-
A.
isUniversal
chosen
Indicates that the relationship or property holds for all relevant entities or cases without exception.
-
B.
hasUniversalCover
Indicates that one mathematical space serves as the universal covering space of another, mapping onto it via a covering map that is simply connected and covers all its loops.
-
C.
hasUniversalMembership
Indicates that an entity is a member of every group, set, or category within a specified domain.
-
D.
isUnifiedSystem
Indicates that multiple components or elements function together as a single, coherent, integrated system.
-
E.
inUniverseUse
Indicates that something is used or occurs within a particular fictional or conceptual universe, as opposed to in the real world or another setting.
- 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_69f62478fd0c81909b7de1d72aa0e2c0 |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:05 a.m.