Triple
T36836164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuznets swing |
E910277
|
entity |
| Predicate | cycleLengthLowerBoundYears |
P27022
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Kuznets swing, cycleLengthLowerBoundYears, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleLengthLowerBoundYears Context triple: [Kuznets swing, cycleLengthLowerBoundYears, 15]
-
A.
hasCycleLength
chosen
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
-
B.
eraLengthYears
Indicates the duration of an era measured in years.
-
C.
orbitalPeriodRange_minutesLowerBound
Indicates the minimum value of an object's orbital period, expressed in minutes, within a specified range.
-
D.
typicalNumberOfCycles
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
-
E.
knownLowerBoundYear
Indicates that the associated year value is the earliest known or confirmed lower bound in time for the related event or state.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.