Triple
T31898376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | correspondence principle |
E814351
|
entity |
| Predicate | appliesInLimit |
P70874
|
FINISHED |
| Object | large quantum numbers |
—
|
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: large quantum numbers | Statement: [correspondence principle, appliesInLimit, large quantum numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesInLimit Context triple: [correspondence principle, appliesInLimit, large quantum numbers]
-
A.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
B.
validInLimit
chosen
Indicates that a condition, rule, or value remains applicable or holds true as some parameter approaches a specified limit or boundary.
-
C.
definesLimitOf
Indicates that one entity specifies or establishes the maximum or boundary condition applicable to another entity.
-
D.
hasLimitation
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
E.
hasLimitSet
Indicates that there is a defined boundary, range, or constraint applied to something.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: April 30, 2026, 11:59 p.m.