Triple
T9700970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porvoonjoki |
E234773
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Borgå å (Swedish)
Borgå å is the Swedish name for the Porvoonjoki river in southern Finland, which flows through the city of Porvoo into the Gulf of Finland.
|
E814359
|
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: Borgå å (Swedish) | Statement: [Porvoonjoki, hasNameInLanguage, Borgå å (Swedish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borgå å (Swedish) Context triple: [Porvoonjoki, hasNameInLanguage, Borgå å (Swedish)]
-
A.
Borgå
Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
-
B.
Skogås
Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
-
C.
Bogleråsen
Bogleråsen is a residential neighborhood located in the Østensjø borough of Oslo, Norway.
-
D.
Ågotnes
Ågotnes is a village and industrial hub on the island of Sotra in Vestland county, Norway.
-
E.
Vågå
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
- 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: Borgå å (Swedish) Triple: [Porvoonjoki, hasNameInLanguage, Borgå å (Swedish)]
Generated description
Borgå å is the Swedish name for the Porvoonjoki river in southern Finland, which flows through the city of Porvoo into the Gulf of Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borgå å (Swedish) Target entity description: Borgå å is the Swedish name for the Porvoonjoki river in southern Finland, which flows through the city of Porvoo into the Gulf of Finland.
-
A.
Borgå
Borgå is a historic coastal city in southern Finland, known in Finnish as Porvoo and noted for its well-preserved wooden old town and medieval cathedral.
-
B.
Skogås
Skogås is a suburban district in the southern Stockholm area of Sweden, known primarily as a residential community with good commuter connections to central Stockholm.
-
C.
Bogleråsen
Bogleråsen is a residential neighborhood located in the Østensjø borough of Oslo, Norway.
-
D.
Ågotnes
Ågotnes is a village and industrial hub on the island of Sotra in Vestland county, Norway.
-
E.
Vågå
Vågå is a rural municipality in Innlandet county, Norway, known for its traditional farming landscape, historic stave church, and proximity to the Jotunheimen mountain area.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d191ea02e8819097e5a4247a8084f6 |
completed | April 4, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19251095881909272c53c026b2ad1 |
completed | April 4, 2026, 10:36 p.m. |
Created at: March 30, 2026, 8:18 p.m.