Triple
T14314135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernstein set |
E354908
|
entity |
| Predicate | intersectionProperty |
P102344
|
FINISHED |
| Object | meets every uncountable closed subset of R in at least one point |
—
|
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: meets every uncountable closed subset of R in at least one point | Statement: [Bernstein set, intersectionProperty, meets every uncountable closed subset of R in at least one point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intersectionProperty Context triple: [Bernstein set, intersectionProperty, meets every uncountable closed subset of R in at least one point]
-
A.
fieldIntersection
Indicates that two or more fields or domains share a common overlapping area or set of elements.
-
B.
intersectionRole
Indicates a role or function that an entity specifically holds at the point where two or more entities, paths, or sets intersect.
-
C.
isIntersectionOf
chosen
Indicates that something is the exact common part shared by two or more other things, typically where they overlap or meet.
-
D.
servesIntersection
Indicates that one entity provides service or operational coverage to a specific road or transit intersection.
-
E.
hasNotableIntersection
Indicates that two entities intersect or cross at a point that is considered significant or noteworthy in some 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.