Triple
T17011708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Länsimetro |
E412715
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Kivenlahti |
E995024
|
NE FINISHED |
How this triple was built (2 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: Kivenlahti | Statement: [Länsimetro, terminus, Kivenlahti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kivenlahti Context triple: [Länsimetro, terminus, Kivenlahti]
-
A.
Kivenlahti
chosen
Kivenlahti is a coastal residential district in western Espoo, Finland, known for its seaside location and role as a terminus area for the city’s metro line.
-
B.
Kivijärvi
Kivijärvi is a small rural municipality in Central Finland known for its lakes, forests, and outdoor recreation opportunities.
-
C.
Lapinjärvi
Lapinjärvi is a small rural municipality in southern Finland, located within the Greater Helsinki region.
-
D.
Sääksjärvi
Sääksjärvi is a lake in the municipality of Nurmijärvi in southern Finland, known for its recreational beaches and natural surroundings.
-
E.
Kauhajoki
Kauhajoki is a town and municipality in western Finland known for its rural landscapes, agriculture, and small industrial base.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_6a0170df4d1c81909dd05abfd1cfc2ac |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.