Triple
T20805365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Dennis |
E512139
|
entity |
| Predicate | stormNumberInSeason |
P135130
|
FINISHED |
| Object | fourth named storm of the 2005 Atlantic hurricane season |
—
|
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: fourth named storm of the 2005 Atlantic hurricane season | Statement: [Hurricane Dennis, stormNumberInSeason, fourth named storm of the 2005 Atlantic hurricane season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stormNumberInSeason Context triple: [Hurricane Dennis, stormNumberInSeason, fourth named storm of the 2005 Atlantic hurricane season]
-
A.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
B.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
C.
serialNumberInSeason
chosen
Indicates the position or sequence number that something holds within a particular season.
-
D.
typicalNumberOfStopsPerSeason
Indicates the usual or average count of stops that occur in a single season.
-
E.
franchiseSeasonNumber
Indicates the specific season number assigned to an installment within a larger franchise series.
- 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_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. |
Created at: April 16, 2026, 12:40 p.m.