Triple
T29755411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Pacific tropical cyclone intensity scale |
E753016
|
entity |
| Predicate | Category3LowerBoundWind |
P170433
|
FINISHED |
| Object | 118 km/h |
—
|
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: 118 km/h | Statement: [South Pacific tropical cyclone intensity scale, Category3LowerBoundWind, 118 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Category3LowerBoundWind Context triple: [South Pacific tropical cyclone intensity scale, Category3LowerBoundWind, 118 km/h]
-
A.
Category1LowerBoundWind
Indicates the minimum wind value that defines the lower bound for Category 1 in a classification or scale.
-
B.
Category2LowerBoundWind
Indicates that the wind speed meets or exceeds the minimum threshold defined for Category 2 intensity.
-
C.
Category2UpperBoundWind
Indicates the maximum wind speed threshold that defines the upper limit of Category 2 conditions in a wind-based classification or scale.
-
D.
Category1UpperBoundWind
Indicates the maximum wind value that defines the upper limit of Category 1 in a classification or scale.
-
E.
hasWindPressure
Indicates that an entity is subject to or characterized by a specific level or value of wind-induced pressure.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 7:56 p.m.