Triple
T11498346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Næstved |
E272601
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Suså River
The Suså River is one of Zealand’s largest rivers in Denmark, flowing through the town of Næstved and surrounding countryside before emptying into Karrebæk Fjord.
|
E929226
|
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: Suså River | Statement: [Næstved, hasRiver, Suså River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suså River Context triple: [Næstved, hasRiver, Suså River]
-
A.
Vejle River
Vejle River is a Danish watercourse in Jutland known for flowing through the town of Vejle and its surrounding valley before emptying into Vejle Fjord.
-
B.
Kolding River
Kolding River is a watercourse in southern Denmark that flows through the city of Kolding before emptying into Kolding Fjord.
-
C.
Gudenå River
The Gudenå River is Denmark’s longest river, flowing through Jutland and serving as an important natural and recreational waterway.
-
D.
Blavet River
The Blavet River is a waterway in Brittany, northwestern France, that flows into the Atlantic Ocean near the port city of Lorient.
-
E.
Alna River
The Alna River is a watercourse in Oslo, Norway, that flows through the Alna district and several other urban and natural areas before reaching the Oslofjord.
- 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: Suså River Triple: [Næstved, hasRiver, Suså River]
Generated description
The Suså River is one of Zealand’s largest rivers in Denmark, flowing through the town of Næstved and surrounding countryside before emptying into Karrebæk Fjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suså River Target entity description: The Suså River is one of Zealand’s largest rivers in Denmark, flowing through the town of Næstved and surrounding countryside before emptying into Karrebæk Fjord.
-
A.
Vejle River
Vejle River is a Danish watercourse in Jutland known for flowing through the town of Vejle and its surrounding valley before emptying into Vejle Fjord.
-
B.
Kolding River
Kolding River is a watercourse in southern Denmark that flows through the city of Kolding before emptying into Kolding Fjord.
-
C.
Gudenå River
The Gudenå River is Denmark’s longest river, flowing through Jutland and serving as an important natural and recreational waterway.
-
D.
Blavet River
The Blavet River is a waterway in Brittany, northwestern France, that flows into the Atlantic Ocean near the port city of Lorient.
-
E.
Alna River
The Alna River is a watercourse in Oslo, Norway, that flows through the Alna district and several other urban and natural areas before reaching the Oslofjord.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a6de0c8190aabda7ef7b7063a6 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61842b8848190b454cee480c69f7a |
completed | April 20, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:36 p.m.