Triple
T19791986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lödöse |
E475434
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Götaland |
—
|
NE NERFINISHED |
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: Götaland | Statement: [Lödöse, region, Götaland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Götaland Context triple: [Lödöse, region, Götaland]
-
A.
Götaland
chosen
Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
-
B.
Östergötland
Östergötland is a historical province in southeastern Sweden known for its lakes, fertile plains, and important role in the country’s industrial and infrastructural development.
-
C.
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.
-
D.
Skåne
Skåne is the southernmost historical province of Sweden, known for its fertile farmland, coastal landscapes, and cultural ties to both Sweden and Denmark.
-
E.
Västergötland
Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c37a3c819080f195d58adaaa7b |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.