Triple
T20805265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Ophelia (2005) |
E512137
|
entity |
| Predicate | stormTypeAtFormation |
P141883
|
FINISHED |
| Object | tropical storm |
—
|
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: tropical storm | Statement: [Hurricane Ophelia (2005), stormTypeAtFormation, tropical storm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stormTypeAtFormation Context triple: [Hurricane Ophelia (2005), stormTypeAtFormation, tropical storm]
-
A.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
-
B.
firstStormFormed
Indicates that the referenced storm is the earliest one to form within a given time period, region, or dataset.
-
C.
stormNameList
Indicates that a storm is included in a designated list of named storms.
-
D.
stormedBy
Indicates that an entity is subjected to a forceful or aggressive assault, attack, or rush by another entity.
-
E.
strongestStorm
Indicates that one storm is the most intense or powerful compared to a set of other storms.
- 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.