Triple
T18798943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Mountain Corps Norway |
E459712
|
entity |
| Predicate | operationalEnvironment |
P853
|
FINISHED |
| Object | Arctic |
—
|
NE NERFINISHED |
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: Arctic | Statement: [German Mountain Corps Norway, operationalEnvironment, Arctic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arctic Context triple: [German Mountain Corps Norway, operationalEnvironment, Arctic]
-
A.
Arctic
Arctic is a 2018 survival drama film starring Mads Mikkelsen as a stranded pilot struggling to stay alive in the Arctic wilderness.
-
B.
Arctic
Arctic is a village and historic commercial district within the town of West Warwick, Rhode Island.
-
C.
Nearctic
Nearctic was a Canadian-bred Thoroughbred racehorse best known as the sire of Northern Dancer and a highly influential progenitor in modern bloodlines.
-
D.
Nearctic
The Nearctic is a major biogeographic realm that encompasses most of North America, characterized by diverse climates and ecosystems ranging from Arctic tundra to deserts and temperate forests.
-
E.
Arctic region
chosen
The Arctic region is the Earth's northernmost polar area, characterized by extreme cold, sea ice, tundra landscapes, and unique ecosystems adapted to long periods of darkness and light.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a0215084819086bce60f95d08409 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.