Triple
T7833392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyapunov time |
E181628
|
entity |
| Predicate | longLyapunovTimeIndicates |
P79269
|
FINISHED |
| Object | greater predictability |
—
|
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: greater predictability | Statement: [Lyapunov time, longLyapunovTimeIndicates, greater predictability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longLyapunovTimeIndicates Context triple: [Lyapunov time, longLyapunovTimeIndicates, greater predictability]
-
A.
timeDependence
Indicates that one entity’s state, value, or behavior is determined by or varies as a function of another entity over time.
-
B.
timePeriodImplied
Indicates that a time period is inferred or implied by context rather than being explicitly specified.
-
C.
timePeriodAnalyzed
Indicates that a specified time period is the focus or scope of an analysis or evaluation.
-
D.
dimensionOfTime
Indicates a temporal measurement or extent that specifies how long something lasts or when it occurs.
-
E.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:45 p.m.