Triple
T5341330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 Atlantic hurricane season |
E123950
|
entity |
| Predicate | numberOfTropicalDepressions |
P63108
|
FINISHED |
| Object | 31 |
—
|
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: 31 | Statement: [2005 Atlantic hurricane season, numberOfTropicalDepressions, 31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTropicalDepressions Context triple: [2005 Atlantic hurricane season, numberOfTropicalDepressions, 31]
-
A.
firstBecameTropicalDepressionNear
Indicates that a weather system initially reached tropical depression strength in the vicinity of a specified location.
-
B.
isTropical
Indicates that something belongs to, occurs in, or is characteristic of tropical regions or climates.
-
C.
reachedTropicalStormStatusOn
Indicates the date or time at which something, typically a weather system, attained tropical storm intensity or classification.
-
D.
isTropicalCycloneBasin
Indicates that a given geographic region or body of water functions as a basin where tropical cyclones can form or occur.
-
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.