Triple
T20805264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Ophelia (2005) |
E512137
|
entity |
| Predicate | stormTypeAtPeak |
P141882
|
FINISHED |
| Object | hurricane |
—
|
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: hurricane | Statement: [Hurricane Ophelia (2005), stormTypeAtPeak, hurricane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stormTypeAtPeak Context triple: [Hurricane Ophelia (2005), stormTypeAtPeak, hurricane]
-
A.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
-
B.
stormedBy
Indicates that an entity is subjected to a forceful or aggressive assault, attack, or rush by another entity.
-
C.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
-
D.
stormNameList
Indicates that a storm is included in a designated list of named storms.
-
E.
typicalWeatherFeature
Indicates a weather condition or pattern that commonly characterizes a place or time period.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cf1cbc819092d92625dfb107d0 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:40 p.m.