Triple
T19147732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oymyakon |
E468723
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Pole of Cold |
—
|
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: Pole of Cold | Statement: [Oymyakon, nickname, Pole of Cold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pole of Cold Context triple: [Oymyakon, nickname, Pole of Cold]
-
A.
Oymyakon
chosen
Oymyakon is a remote rural locality in Russia’s Sakha Republic known as one of the coldest permanently inhabited places on Earth.
-
B.
North Pole
The North Pole is the northernmost point on Earth, situated in the middle of the Arctic region and characterized by drifting sea ice over the Arctic Ocean.
-
C.
Campo de Hielo Norte
Campo de Hielo Norte is a vast Patagonian ice field in southern Chile, known as one of the largest mid-latitude ice masses in the world and a major source of outlet glaciers and freshwater.
-
D.
Polar
Polar is a small, friendly polar bear character and playable racer in the Crash Bandicoot kart-racing games.
-
E.
Polar
Polar is a 2019 action-thriller film directed by Jonas Åkerlund, based on the Dark Horse graphic novel about an aging assassin forced out of retirement.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97a79a48190b243553023bf9081 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.