Triple
T19575227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värmdö |
E489837
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Svealand |
—
|
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: Svealand | Statement: [Värmdö, region, Svealand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svealand Context triple: [Värmdö, region, Svealand]
-
A.
Svealand
chosen
Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
-
B.
Hälsingland
Hälsingland is a historical province in central Sweden known for its traditional decorated farmhouses, forests, and cultural heritage.
-
C.
Skåneland
Skåneland is a historical region in southern Scandinavia encompassing the provinces around present-day Skåne, known for its shifting rule between Denmark and Sweden and its central role in medieval Nordic history.
-
D.
Uppland
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.
-
E.
Geatland
Geatland is the homeland of the hero Beowulf, depicted in the Old English epic as the territory of the Geats in what is now southern Sweden.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.