Triple
T17011695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Länsimetro |
E412715
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Koivusaari
Koivusaari is an underground metro station on Helsinki’s western metro line, serving the Koivusaari island area.
|
E1248918
|
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: Koivusaari | Statement: [Länsimetro, hasStation, Koivusaari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koivusaari Context triple: [Länsimetro, hasStation, Koivusaari]
-
A.
Lauttasaari
Lauttasaari is an island district of Helsinki, Finland, known for its residential areas, seaside parks, and easy access to the city center.
-
B.
Seurasaari
Seurasaari is an island in Helsinki, Finland, best known for its open-air museum showcasing traditional Finnish wooden buildings and rural life.
-
C.
Suursaari
Suursaari is a large, strategically located island in the eastern Gulf of Finland, known for its rugged terrain, historical military significance, and shifting control between Finland and Russia.
-
D.
Viitasaari
Viitasaari is a town and municipality in the Central Finland region, known for its lakeside landscapes and outdoor recreation opportunities.
-
E.
Pietarsaari
Pietarsaari is a bilingual coastal town in western Finland known for its historic wooden architecture and maritime heritage.
- 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: Koivusaari Triple: [Länsimetro, hasStation, Koivusaari]
Generated description
Koivusaari is an underground metro station on Helsinki’s western metro line, serving the Koivusaari island area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koivusaari Target entity description: Koivusaari is an underground metro station on Helsinki’s western metro line, serving the Koivusaari island area.
-
A.
Lauttasaari
Lauttasaari is an island district of Helsinki, Finland, known for its residential areas, seaside parks, and easy access to the city center.
-
B.
Seurasaari
Seurasaari is an island in Helsinki, Finland, best known for its open-air museum showcasing traditional Finnish wooden buildings and rural life.
-
C.
Suursaari
Suursaari is a large, strategically located island in the eastern Gulf of Finland, known for its rugged terrain, historical military significance, and shifting control between Finland and Russia.
-
D.
Viitasaari
Viitasaari is a town and municipality in the Central Finland region, known for its lakeside landscapes and outdoor recreation opportunities.
-
E.
Pietarsaari
Pietarsaari is a bilingual coastal town in western Finland known for its historic wooden architecture and maritime heritage.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47cc17c819087f7bd27582bcbfa |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed0b78481909a11c1529db6c1cd |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012f9339d88190a8976240f5b2a8d8 |
completed | May 11, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01301a4fbc8190bbd5b5b9bad814d3 |
completed | May 11, 2026, 1:25 a.m. |
Created at: April 10, 2026, 5:33 a.m.