Triple
T12705822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagoona area |
E303581
|
entity |
| Predicate | hasTypicalWindConditions |
P68425
|
FINISHED |
| Object | strong winds |
—
|
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: strong winds | Statement: [Lagoona area, hasTypicalWindConditions, strong winds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWindConditions Context triple: [Lagoona area, hasTypicalWindConditions, strong winds]
-
A.
typicalWindStrength
chosen
Indicates the usual or characteristic intensity of wind associated with something, such as a place, time, or condition.
-
B.
hasMinimumWeatherRequirements
Indicates that a subject is associated with the lowest acceptable set of weather conditions required for a particular activity, operation, or state to occur.
-
C.
hasWindPattern
Indicates that one entity exhibits, is characterized by, or is associated with a particular pattern of wind behavior.
-
D.
usedWhenWindFrom
Indicates that something is employed or activated under conditions where the wind is coming from a specified direction.
-
E.
hasWeather
Indicates that a location or environment is experiencing or characterized by a particular type of weather condition.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f1adec8190a53c80e9556b3fe0 |
completed | April 10, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.