Triple
T10229695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kronoberg County |
E243306
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Kronobergs län
Kronobergs län is a county in southern Sweden known for its forests, lakes, and the regional capital Växjö.
|
E854804
|
NE FINISHED |
How this triple was built (4 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: Kronobergs län | Statement: [Kronoberg County, nativeName, Kronobergs län]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kronobergs län Context triple: [Kronoberg County, nativeName, Kronobergs län]
-
A.
Kalmar län
Kalmar län is a county in southeastern Sweden known for its Baltic Sea coastline, historic towns, and the island of Öland.
-
B.
Blekinge
Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
-
C.
Östergötland County
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.
-
D.
Örebro County
Örebro County is a county in central Sweden known for its industrial heritage, including major arms manufacturer Bofors, and its administrative center in the city of Örebro.
-
E.
Gävleborg County
Gävleborg County is a region in east-central Sweden along the Baltic coast, known for its mix of industrial towns, forests, and coastal landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kronobergs län Triple: [Kronoberg County, nativeName, Kronobergs län]
Generated description
Kronobergs län is a county in southern Sweden known for its forests, lakes, and the regional capital Växjö.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kronobergs län Target entity description: Kronobergs län is a county in southern Sweden known for its forests, lakes, and the regional capital Växjö.
-
A.
Kalmar län
Kalmar län is a county in southeastern Sweden known for its Baltic Sea coastline, historic towns, and the island of Öland.
-
B.
Blekinge
Blekinge is a historical province in southern Sweden on the Baltic Sea coast, known for its archipelago, maritime heritage, and strategic location.
-
C.
Östergötland County
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.
-
D.
Örebro County
Örebro County is a county in central Sweden known for its industrial heritage, including major arms manufacturer Bofors, and its administrative center in the city of Örebro.
-
E.
Gävleborg County
Gävleborg County is a region in east-central Sweden along the Baltic coast, known for its mix of industrial towns, forests, and coastal landscapes.
- F. None of above. chosen
Provenance (5 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c9123cc819095da6d8dc0cfa688 |
completed | April 9, 2026, 3:27 a.m. |
| NEDg | Description generation | batch_69d73180d90481908f1b4768230edd36 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7326b14988190bff33dc01e690707 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:19 a.m.