Triple
T15751610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyngen Alps |
E381858
|
entity |
| Predicate | bestSeasonForNorthernLights |
P29013
|
FINISHED |
| Object | winter |
—
|
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: winter | Statement: [Lyngen Alps, bestSeasonForNorthernLights, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeasonForNorthernLights Context triple: [Lyngen Alps, bestSeasonForNorthernLights, winter]
-
A.
hasNorthernLightsVisibility
Indicates that a location or region experiences visibility of the Northern Lights (aurora borealis) under certain conditions.
-
B.
seasonOfPolarNight
Indicates the season during which a location experiences continuous or near-continuous polar night (absence of direct sunlight for an extended period).
-
C.
occursInSeasonInNorthernHemisphere
chosen
Indicates that an event or phenomenon takes place during a specified season as defined for the Northern Hemisphere.
-
D.
bestVisibleMonthNorthernHemisphere
Indicates the month in which something is most optimally visible from locations in the Northern Hemisphere.
-
E.
bestHikingMonthsNorthernHemisphere
Indicates the months in the Northern Hemisphere that are considered most suitable or optimal for hiking.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.