Triple
T594575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Norway |
E17350
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Northern Lights |
E16797
|
NE 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: Northern Lights | Statement: [Northern Norway, knownFor, Northern Lights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Lights Context triple: [Northern Norway, knownFor, Northern Lights]
-
A.
Aurora Borealis
chosen
Aurora Borealis is a famous 1865 landscape painting by American artist Frederic Edwin Church that dramatically depicts the northern lights over an Arctic scene.
-
B.
Farthest North
Farthest North is Fridtjof Nansen’s classic account of his pioneering 1893–1896 Arctic expedition toward the North Pole, blending exploration narrative with scientific observation.
-
C.
Dark Sky Island
Dark Sky Island is a location recognized for its exceptionally low levels of light pollution, making it ideal for stargazing and astronomical observation.
-
D.
Sunshine
"Sunshine" is a 2007 science fiction thriller film directed by Danny Boyle about a crew’s perilous mission to reignite the dying sun, featuring Cillian Murphy in a leading role.
-
E.
Snowflake
Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a518c61744819090ccc037d61a61b1 |
completed | March 2, 2026, 4:57 a.m. |
Created at: March 1, 2026, 7:33 p.m.