Triple
T13692723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real-time Multivariate MJO index |
E328307
|
entity |
| Predicate | amplitudeThreshold |
P14326
|
FINISHED |
| Object | 1.0 |
—
|
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: 1.0 | Statement: [Real-time Multivariate MJO index, amplitudeThreshold, 1.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amplitudeThreshold Context triple: [Real-time Multivariate MJO index, amplitudeThreshold, 1.0]
-
A.
thresholdFor
chosen
Indicates that one entity specifies the minimum or limiting value at which a condition, effect, or state involving another entity begins to occur or change.
-
B.
elevationThreshold
Indicates a specified elevation level at which a condition, effect, or change in state becomes applicable or is triggered.
-
C.
connectivityThreshold
Indicates the minimum level of connection or linkage required between entities for a specified relationship, interaction, or network condition to be considered established.
-
D.
noiseLevel
Indicates the intensity or amount of sound present in a given environment or from a specific source.
-
E.
hasLightcurveAmplitude
Indicates the measured range of brightness variation (amplitude) in an object's lightcurve over time.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.