Triple
T21106021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Epsilon |
E520044
|
entity |
| Predicate | seaSurfaceTemperatureEnvironment |
P9307
|
FINISHED |
| Object | cooler than typical for hurricanes |
—
|
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: cooler than typical for hurricanes | Statement: [Hurricane Epsilon, seaSurfaceTemperatureEnvironment, cooler than typical for hurricanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaSurfaceTemperatureEnvironment Context triple: [Hurricane Epsilon, seaSurfaceTemperatureEnvironment, cooler than typical for hurricanes]
-
A.
requiresSeaSurfaceTemperature
Indicates that one entity depends on or needs a specified sea surface temperature condition to occur, function, or be valid.
-
B.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
C.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
D.
waterTemperatureType
chosen
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
E.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b62301c819082cfc6cb3cd11c8c |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:53 p.m.