Triple
T8730198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Hillary |
E207234
|
entity |
| Predicate | hasVisited |
P37603
|
FINISHED |
| Object | North Pole |
E9439
|
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: North Pole | Statement: [Peter Hillary, hasVisited, North Pole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Pole Context triple: [Peter Hillary, hasVisited, North Pole]
-
A.
North Pole
chosen
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.
-
B.
North Pole, Alaska
North Pole, Alaska is a small city near Fairbanks known for its year-round Christmas-themed attractions and holiday tourism.
-
C.
South Pole
The South Pole is the southernmost point on Earth, located on the continent of Antarctica and serving as a key site for climate and atmospheric research.
-
D.
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.
-
E.
Polaria
Polaria is an Arctic-themed experience center and aquarium in Tromsø, Norway, focusing on polar research, climate, and marine life.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d26d280819085e15d4917c2b9a5 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5174db7881908597d5dc472adde9 |
completed | April 3, 2026, 5:34 a.m. |
Created at: March 30, 2026, 6:37 p.m.