Triple
T29776415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott topology |
E755389
|
entity |
| Predicate | hasClosedSets |
P182246
|
FINISHED |
| Object | lower sets closed under directed suprema |
—
|
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: lower sets closed under directed suprema | Statement: [Scott topology, hasClosedSets, lower sets closed under directed suprema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClosedSets Context triple: [Scott topology, hasClosedSets, lower sets closed under directed suprema]
-
A.
hasClopenBasis
Indicates that a topological space has a basis consisting entirely of sets that are both open and closed (clopen).
-
B.
hasClosedStrings
Indicates that an entity possesses or is associated with strings that are closed (looped) rather than open-ended.
-
C.
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).
-
D.
isPerfectSetWithoutIntervals
Indicates that a set is perfect (closed with no isolated points) and contains no nontrivial intervals.
-
E.
isClosed
Indicates that an entity, process, or structure is in a finished, sealed, or non-open state, preventing further change or access.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 28, 2026, 8:46 p.m.