Triple
T3506394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scandinavian Mountains |
E74084
|
entity |
| Predicate | extendsInto |
P1673
|
FINISHED |
| Object | Vestlandet |
E75761
|
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: Vestlandet | Statement: [Scandinavian Mountains, extendsInto, Vestlandet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vestlandet Context triple: [Scandinavian Mountains, extendsInto, Vestlandet]
-
A.
Vestland
chosen
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Nordland
Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
-
C.
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.
-
D.
Hälsingland
Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
-
E.
Hadeland
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf52bd8819085a2ac5f48cc5c68 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bc25328819098f7744ee228d665 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:18 p.m.