Triple
T1282110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svalbard |
E27348
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Nordaustlandet
Nordaustlandet is the second-largest island in the Svalbard archipelago, known for its extensive ice caps and remote Arctic wilderness.
|
E27348
|
NE FINISHED |
How this triple was built (4 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: Nordaustlandet | Statement: [Svalbard, containsIsland, Nordaustlandet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordaustlandet Context triple: [Svalbard, containsIsland, Nordaustlandet]
-
A.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
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.
-
C.
Queen Maud Land
Queen Maud Land is a region of Antarctica claimed by Norway, known for its vast ice-covered terrain and numerous research stations.
-
D.
Nordland
Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
-
E.
Fosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nordaustlandet Triple: [Svalbard, containsIsland, Nordaustlandet]
Generated description
Nordaustlandet is the second-largest island in the Svalbard archipelago, known for its extensive ice caps and remote Arctic wilderness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nordaustlandet Target entity description: Nordaustlandet is the second-largest island in the Svalbard archipelago, known for its extensive ice caps and remote Arctic wilderness.
-
A.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Svalbard
chosen
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.
-
C.
Queen Maud Land
Queen Maud Land is a region of Antarctica claimed by Norway, known for its vast ice-covered terrain and numerous research stations.
-
D.
Nordland
Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
-
E.
Fosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
- F. None of above.
Provenance (5 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b317788190a1672b5ee422a049 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08a3865c819093a6ffd1a8c74e2e |
completed | March 8, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69ad09206e988190ad76f8beaa8f9fe6 |
completed | March 8, 2026, 5:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a30bcdc81908090d6a094ece0f4 |
completed | March 8, 2026, 5:33 a.m. |
Created at: March 1, 2026, 7:50 p.m.