Triple
T1123200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norrtälje Municipality |
E24657
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Svealand |
E66788
|
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: Svealand | Statement: [Norrtälje Municipality, region, Svealand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svealand Context triple: [Norrtälje Municipality, 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.
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.
-
C.
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.
-
D.
Scandinavia
Scandinavia is a cultural and geographical region in Northern Europe, typically comprising Norway, Sweden, and Denmark, known for its high living standards, social welfare systems, and distinctive Nordic culture.
-
E.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbc09e708190b099d436d1f737eb |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacaafe5c8190968cd74e59ceaa53 |
completed | March 7, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:44 p.m.