Triple
T17011700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Länsimetro |
E412715
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Niittykumpu
Niittykumpu is a district and metro station area in Espoo, Finland, served by the western extension of the Helsinki Metro.
|
E1248199
|
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: Niittykumpu | Statement: [Länsimetro, hasStation, Niittykumpu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niittykumpu Context triple: [Länsimetro, hasStation, Niittykumpu]
-
A.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
B.
Karttula
Karttula is a small former municipality in eastern Finland, known for its rural landscapes and location within the Northern Savonia region.
-
C.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
-
D.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
-
E.
Tuusniemi
Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
- 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: Niittykumpu Triple: [Länsimetro, hasStation, Niittykumpu]
Generated description
Niittykumpu is a district and metro station area in Espoo, Finland, served by the western extension of the Helsinki Metro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niittykumpu Target entity description: Niittykumpu is a district and metro station area in Espoo, Finland, served by the western extension of the Helsinki Metro.
-
A.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
B.
Karttula
Karttula is a small former municipality in eastern Finland, known for its rural landscapes and location within the Northern Savonia region.
-
C.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
-
D.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
-
E.
Tuusniemi
Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
- 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_6a01233311648190b5f8a8e7c209d124 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0124f158a08190a803b37378a2c253 |
completed | May 11, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012569322081908b60694851d50e4b |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 10, 2026, 5:33 a.m.