Triple
T12524327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Magnus Ericsson |
E299396
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Värmskog
Värmskog is a small locality in Värmland County, Sweden, known as the birthplace of telephone industry pioneer Lars Magnus Ericsson.
|
E986654
|
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: Värmskog | Statement: [Lars Magnus Ericsson, placeOfBirth, Värmskog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Värmskog Context triple: [Lars Magnus Ericsson, placeOfBirth, Värmskog]
-
A.
Fältskog
Fältskog is a Swedish surname most famously borne by Agnetha Fältskog, the singer from the pop group ABBA.
-
B.
Svalöv
Svalöv is a small locality and municipality in Skåne County in southern Sweden, known for its rural landscape and agricultural surroundings.
-
C.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
D.
Vänersborg
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
-
E.
Bengtsfors
Bengtsfors is a small town in western Sweden known for its lakeside setting, forests, and role as a local administrative and service center.
- 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: Värmskog Triple: [Lars Magnus Ericsson, placeOfBirth, Värmskog]
Generated description
Värmskog is a small locality in Värmland County, Sweden, known as the birthplace of telephone industry pioneer Lars Magnus Ericsson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Värmskog Target entity description: Värmskog is a small locality in Värmland County, Sweden, known as the birthplace of telephone industry pioneer Lars Magnus Ericsson.
-
A.
Fältskog
Fältskog is a Swedish surname most famously borne by Agnetha Fältskog, the singer from the pop group ABBA.
-
B.
Svalöv
Svalöv is a small locality and municipality in Skåne County in southern Sweden, known for its rural landscape and agricultural surroundings.
-
C.
Bollnäs
Bollnäs is a small Swedish town known for its scenic lakeside setting, traditional wooden architecture, and strong bandy sports culture.
-
D.
Vänersborg
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
-
E.
Bengtsfors
Bengtsfors is a small town in western Sweden known for its lakeside setting, forests, and role as a local administrative and service center.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64def9a6081908c3048f948829051 |
completed | May 2, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ea1719c8190b91ffaab60db25ad |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.