Triple
T11961290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebesgue measure |
E284674
|
entity |
| Predicate | isSigmaFinite |
P102502
|
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: [Lebesgue measure, isSigmaFinite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSigmaFinite Context triple: [Lebesgue measure, isSigmaFinite, true]
-
A.
hasFiniteSupport
Indicates that a function, relation, or structure is nonzero or nontrivial at only finitely many elements of its domain.
-
B.
isFinitelyGenerated
Indicates that a structure (such as a group, module, or ideal) can be generated by a finite set of elements under its defining operations.
-
C.
isLocallyFinite
Indicates that every element or point in a structure has only finitely many related or interacting elements within any bounded or local region.
-
D.
cofiniteVolumeIn
Indicates that one space is embedded in another such that the complement has finite measure or volume.
-
E.
hasInfiniteSumSide
Indicates that one side of a relationship or equation involves an infinite sum or series rather than a finite quantity.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.