Triple
T5248725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Södertälje Canal |
E118526
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Uppland–Södermanland area |
E110264
|
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: Uppland–Södermanland area | Statement: [Södertälje Canal, region, Uppland–Södermanland area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uppland–Södermanland area Context triple: [Södertälje Canal, region, Uppland–Södermanland area]
-
A.
Uppland
chosen
Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
-
B.
Småland
Småland is a historical province in southern Sweden known for its forests, lakes, traditional red cottages, and as the birthplace of IKEA founder Ingvar Kamprad.
-
C.
Götaland
Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
-
D.
Jämtland region
Jämtland region is a sparsely populated county in central Sweden known for its lakes, forests, mountains, and outdoor recreation tourism.
-
E.
Dalsland
Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b787b34819081af96de9355bb4f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18770e608190932d9de276e47212 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:50 p.m.