Triple
T10414139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smithsonian Agreement |
E245472
|
entity |
| Predicate | fluctuationBandWidth |
P94020
|
FINISHED |
| Object | ±2.25% |
—
|
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: ±2.25% | Statement: [Smithsonian Agreement, fluctuationBandWidth, ±2.25%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fluctuationBandWidth Context triple: [Smithsonian Agreement, fluctuationBandWidth, ±2.25%]
-
A.
upperBandWidth
Indicates the maximum bandwidth limit or upper threshold of data transfer capacity allowed or supported in a given context.
-
B.
flowVariation
Indicates how the rate or pattern of flow (such as water, traffic, or data) changes over time or across different conditions.
-
C.
numberOfFrequencyBands
Indicates the relationship specifying how many distinct frequency bands are associated with or used by an entity.
-
D.
hasGainBandwidthProductTypical
Indicates that an entity has a specified typical value for its gain–bandwidth product, describing the standard frequency–gain performance characteristic.
-
E.
frequencyBand
Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:10 p.m.