Triple
T2121213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffir–Simpson Hurricane Wind Scale |
E43925
|
entity |
| Predicate | category3UpperBound_mph |
P34980
|
FINISHED |
| Object | 129 |
—
|
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: 129 | Statement: [Saffir–Simpson Hurricane Wind Scale, category3UpperBound_mph, 129]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: category3UpperBound_mph Context triple: [Saffir–Simpson Hurricane Wind Scale, category3UpperBound_mph, 129]
-
A.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
-
C.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
D.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
E.
supercruiseSpeed
Indicates the speed at which an aircraft or vehicle can sustain supersonic flight without using afterburners or additional boost.
- 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_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. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.