Triple
T5341332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 Atlantic hurricane season |
E123950
|
entity |
| Predicate | numberOfHurricanes |
P63110
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [2005 Atlantic hurricane season, numberOfHurricanes, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHurricanes Context triple: [2005 Atlantic hurricane season, numberOfHurricanes, 15]
-
A.
rankByAtlanticHurricaneIntensity
Indicates the ordering of entities based on the strength or severity of Atlantic hurricanes associated with them.
-
B.
reachedHurricaneStatusOn
Indicates the date or time at which a storm system intensified enough to be classified as a hurricane.
-
C.
maximumSustainedWinds
Indicates the highest wind speed that is maintained continuously over a specified averaging period, rather than in brief gusts.
-
D.
numberOfCays
Indicates the quantity of cays (small low-elevation islands or sandbanks) associated with or contained within a given geographic entity.
-
E.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2 p.m.