Triple
T27133773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baire space ω^ω |
E681626
|
entity |
| Predicate | hasNoIsolatedPoints |
P196356
|
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, hasNoIsolatedPoints, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoIsolatedPoints Context triple: [Baire space ω^ω, hasNoIsolatedPoints, true]
-
A.
isTotallyDisconnected
Indicates that no two distinct elements in the structure are connected by any path or relation, so every component is isolated from all others.
-
B.
hasNumberOfPoints
Indicates that an entity is associated with a specific count of points it possesses or comprises.
-
C.
hasLinesThroughEachPoint
Indicates that for every point in the relevant space or set, there exists at least one line that passes through that point.
-
D.
hasComplexPoints
Indicates that something possesses or includes points that are intricate, detailed, or composed of multiple interconnected parts.
-
E.
hasConnectedComponent
Indicates that one entity includes or is associated with a specific connected component as part of its structure or decomposition.
- 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_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69fe2f066ac48190882c327b7e69e53f |
completed | May 8, 2026, 6:44 p.m. |
Created at: April 27, 2026, 9:05 a.m.