Triple
T17143682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jämtland County |
E416033
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object |
Ljungan
Ljungan is a river in central Sweden that flows through Jämtland and Västernorrland counties before emptying into the Gulf of Bothnia.
|
E1253229
|
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: Ljungan | Statement: [Jämtland County, hasMajorRiver, Ljungan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ljungan Context triple: [Jämtland County, hasMajorRiver, Ljungan]
-
A.
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
B.
Sollerön
Sollerön is the largest island in Lake Siljan in central Sweden, known for its traditional Dalarna culture and scenic rural landscapes.
-
C.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
-
D.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
E.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
- 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: Ljungan Triple: [Jämtland County, hasMajorRiver, Ljungan]
Generated description
Ljungan is a river in central Sweden that flows through Jämtland and Västernorrland counties before emptying into the Gulf of Bothnia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ljungan Target entity description: Ljungan is a river in central Sweden that flows through Jämtland and Västernorrland counties before emptying into the Gulf of Bothnia.
-
A.
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
B.
Sollerön
Sollerön is the largest island in Lake Siljan in central Sweden, known for its traditional Dalarna culture and scenic rural landscapes.
-
C.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
-
D.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
E.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d73c3c81908b875023bb925edb |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415718c88190834fedae7b01ac69 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a014529e7908190bab3e351cdc78c7c |
completed | May 11, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014595ca108190ad1587287987fc01 |
completed | May 11, 2026, 2:57 a.m. |
Created at: April 10, 2026, 5:36 a.m.