Triple
T4092240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebesgue spaces |
E87728
|
entity |
| Predicate | LInfinityDual |
P31338
|
FINISHED |
| Object | larger than L^1 in general |
—
|
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: larger than L^1 in general | Statement: [Lebesgue spaces, LInfinityDual, larger than L^1 in general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LInfinityDual Context triple: [Lebesgue spaces, LInfinityDual, larger than L^1 in general]
-
A.
dualPair
chosen
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
-
B.
isInfinite
Indicates that something has no finite limit, bound, or endpoint in size, extent, or duration.
-
C.
מאפיין לוח
Indicates a relationship where something serves as a characteristic, property, or defining feature of a board.
-
D.
firstInfiniteLevel
Indicates that the subject is at the earliest or lowest infinite level in a hierarchy, sequence, or graded structure.
-
E.
isStrongerThan
Indicates that one entity possesses greater physical power, force, or effectiveness than another entity.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcae22a081908af65a960306b78c |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.