Triple
T21047400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindelöf space |
E518483
|
entity |
| Predicate | impliesInRegularSpaces |
P142627
|
FINISHED |
| Object | normality under additional set-theoretic assumptions |
—
|
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: normality under additional set-theoretic assumptions | Statement: [Lindelöf space, impliesInRegularSpaces, normality under additional set-theoretic assumptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesInRegularSpaces Context triple: [Lindelöf space, impliesInRegularSpaces, normality under additional set-theoretic assumptions]
-
A.
usesSpace
Indicates that one entity occupies, consumes, or makes use of physical or conceptual space associated with another entity.
-
B.
hasSpaceIn
Indicates that one entity occupies or is contained within a physical or conceptual space provided by another entity.
-
C.
areRegularIn
Indicates that entities participate in or occur within a context, pattern, or structure in a consistent, uniform, and rule-governed manner.
-
D.
baseSpacePreserved
Indicates that a mapping between fiber bundles preserves the underlying base space, leaving the base points unchanged.
-
E.
isWrittenWithSpace
Indicates that something is written or represented with spaces separating its components or 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf4d26481908b639996500a8319 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:34 p.m.