Triple
T2121217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saffir–Simpson Hurricane Wind Scale |
E43925
|
entity |
| Predicate | category1Description |
P34982
|
FINISHED |
| Object | very dangerous winds will produce some damage |
—
|
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: very dangerous winds will produce some damage | Statement: [Saffir–Simpson Hurricane Wind Scale, category1Description, very dangerous winds will produce some damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: category1Description Context triple: [Saffir–Simpson Hurricane Wind Scale, category1Description, very dangerous winds will produce some damage]
-
A.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
C.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
D.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
-
E.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
- 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.