Triple
T10628591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jämtland County |
E250389
|
entity |
| Predicate | containsHistoricalProvince |
P80777
|
FINISHED |
| Object | Härjedalen |
E356507
|
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: Härjedalen | Statement: [Jämtland County, containsHistoricalProvince, Härjedalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Härjedalen Context triple: [Jämtland County, containsHistoricalProvince, Härjedalen]
-
A.
Härjedalen
chosen
Härjedalen is a sparsely populated historical province in central Sweden known for its mountainous landscapes, wilderness areas, and outdoor recreation.
-
B.
Dalsland
Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
-
C.
Jämtland region
Jämtland region is a sparsely populated county in central Sweden known for its lakes, forests, mountains, and outdoor recreation tourism.
-
D.
Hälsingegårdar region
The Hälsingegårdar region is a culturally significant area in Sweden known for its historic, ornately decorated farmhouses that are recognized as a UNESCO World Heritage Site.
-
E.
Ångermanland
Ångermanland is a historical province in northern Sweden known for its deep river valleys, forested landscapes, and coastal areas along the Gulf of Bothnia.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31b72d081908ec8029cd9f6d814 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22473bc08190a28558dfdade9f17 |
completed | April 14, 2026, 11:17 a.m. |
Created at: April 8, 2026, 8:58 p.m.