Triple
T7770496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ångerman River |
E179055
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Faxälven
Faxälven is a river in northern Sweden known for flowing through forested landscapes and contributing to the Ångerman River system.
|
E686734
|
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: Faxälven | Statement: [Ångerman River, hasTributary, Faxälven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faxälven Context triple: [Ångerman River, hasTributary, Faxälven]
-
A.
Kungälv
Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
-
B.
Fallvatten
Fallvatten is a Swedish novel by Mikael Niemi that portrays the catastrophic consequences of a massive dam failure in northern Sweden.
-
C.
Vörå
Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
-
D.
Västerdalälven
Västerdalälven is a major river in central Sweden that forms one of the two main headwaters of the Dalälven, flowing through the Dalarna region.
-
E.
Veavågen
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
- 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: Faxälven Triple: [Ångerman River, hasTributary, Faxälven]
Generated description
Faxälven is a river in northern Sweden known for flowing through forested landscapes and contributing to the Ångerman River system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faxälven Target entity description: Faxälven is a river in northern Sweden known for flowing through forested landscapes and contributing to the Ångerman River system.
-
A.
Kungälv
Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
-
B.
Fallvatten
Fallvatten is a Swedish novel by Mikael Niemi that portrays the catastrophic consequences of a massive dam failure in northern Sweden.
-
C.
Vörå
Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
-
D.
Västerdalälven
Västerdalälven is a major river in central Sweden that forms one of the two main headwaters of the Dalälven, flowing through the Dalarna region.
-
E.
Veavågen
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70438ca2481909114b0c434717109 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ead45c8190847365d8549eefab |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c83be35481908fe672c4ad6885a0 |
completed | March 29, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8a317d08190a34be81f78237e46 |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 27, 2026, 4:11 p.m.