Triple
T30084941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juglar cycles |
E764577
|
entity |
| Predicate | timeScaleComparedTo |
P169351
|
FINISHED |
| Object | medium-term relative to Kitchin cycles and Kondratiev waves |
—
|
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: medium-term relative to Kitchin cycles and Kondratiev waves | Statement: [Juglar cycles, timeScaleComparedTo, medium-term relative to Kitchin cycles and Kondratiev waves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeScaleComparedTo Context triple: [Juglar cycles, timeScaleComparedTo, medium-term relative to Kitchin cycles and Kondratiev waves]
-
A.
timeScaleType
Indicates the type or category of temporal scaling applied to an event, process, or measurement (e.g., real-time, accelerated, aggregated).
-
B.
timeScaleCategory
Indicates the classification of an event or process based on the temporal scale or duration over which it occurs.
-
C.
timeScaleOfChange
Indicates the characteristic rate or temporal scale over which a change, process, or transition occurs.
-
D.
timeScaleUnit
Indicates the unit of temporal measurement (such as seconds, minutes, or hours) used to express a given time scale.
-
E.
timeScaleClass
Indicates the classification of a temporal scale or granularity at which an event, process, or relationship is considered or analyzed.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 7:03 p.m.