Triple
T786359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian krone |
E16810
|
entity |
| Predicate | isLegalTenderIn |
P2878
|
FINISHED |
| Object | Jan Mayen |
E27733
|
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: Jan Mayen | Statement: [Norwegian krone, isLegalTenderIn, Jan Mayen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Mayen Context triple: [Norwegian krone, isLegalTenderIn, Jan Mayen]
-
A.
Jan Mayen
chosen
Jan Mayen is a remote volcanic island in the Arctic Ocean administered by Norway, known for its harsh climate, military and meteorological stations, and proximity to the Mid-Atlantic Ridge.
-
B.
Nansen Island
Nansen Island is a polar island named in honor of Norwegian explorer, scientist, and humanitarian Fridtjof Nansen.
-
C.
Svalbard
Svalbard is a remote Arctic archipelago known for its rugged glaciers, polar bear habitat, and role as a center for polar research and environmental monitoring.
-
D.
Stoltenhoff Island
Stoltenhoff Island is a small, uninhabited rocky islet in the South Atlantic Ocean that forms part of the remote Tristan da Cunha archipelago.
-
E.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83be4f88190ab5f969f4f52924e |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:38 p.m.