Triple
T10942860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalmus Beach |
E258517
|
entity |
| Predicate | hasTypicalWindDirection |
P37481
|
FINISHED |
| Object | southwest |
—
|
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: southwest | Statement: [Kalmus Beach, hasTypicalWindDirection, southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWindDirection Context triple: [Kalmus Beach, hasTypicalWindDirection, southwest]
-
A.
typicalWindStrength
Indicates the usual or characteristic intensity of wind associated with something, such as a place, time, or condition.
-
B.
hasWindPattern
chosen
Indicates that one entity exhibits, is characterized by, or is associated with a particular pattern of wind behavior.
-
C.
windCharacteristics
Indicates the specific properties or qualities that describe the behavior and nature of the wind in a given context.
-
D.
windSpeed
Indicates the measured or estimated rate at which wind is moving at a given location and time.
-
E.
prevailingSurfaceWinds
Indicates the typical or most frequently occurring wind direction and speed that dominate at a given location over a specified period.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c3fb388190a598f89ae59a7b51 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.