Triple
T5094154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geats |
E114825
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Östergötland |
E251928
|
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: Östergötland | Statement: [Geats, region, Östergötland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Östergötland Context triple: [Geats, region, Östergötland]
-
A.
Västergötland
Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
-
B.
Götaland
Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
-
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.
Östergötland County
chosen
Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
-
E.
Bohuslän
Bohuslän is a coastal province in western Sweden known for its rugged granite shoreline, fishing villages, and archipelago along the Skagerrak.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75454920819086e09d6055087e40 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219fbf6c8190b84f866274817b9f |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:40 p.m.