Triple
T2121200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffir–Simpson Hurricane Wind Scale |
E43925
|
entity |
| Predicate | scaleRangeUnit |
P1938
|
FINISHED |
| Object | miles per hour |
—
|
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: miles per hour | Statement: [Saffir–Simpson Hurricane Wind Scale, scaleRangeUnit, miles per hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleRangeUnit Context triple: [Saffir–Simpson Hurricane Wind Scale, scaleRangeUnit, miles per hour]
-
A.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
B.
magnitudeScale
chosen
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
C.
timeScaleUnit
Indicates the unit of temporal measurement (such as seconds, minutes, or hours) used to express a given time scale.
-
D.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
E.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3404348190bc843022fbd2b4d0 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.