Triple
T17011701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Länsimetro |
E412715
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Matinkylä |
E296999
|
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: Matinkylä | Statement: [Länsimetro, hasStation, Matinkylä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matinkylä Context triple: [Länsimetro, hasStation, Matinkylä]
-
A.
Matinkylä
chosen
Matinkylä is a coastal residential and commercial district in the city of Espoo, Finland, known for its metro station and shopping center Iso Omena.
-
B.
Munkkiniemi
Munkkiniemi is a residential district in western Helsinki, Finland, known for its seaside location, parks, and notable architecture.
-
C.
Säkylä
Säkylä is a municipality in southwestern Finland known for its rural landscapes, proximity to Lake Pyhäjärvi, and military garrison.
-
D.
Mäntyniemi
Mäntyniemi is the official residence of the President of Finland, located in the Meilahti district of Helsinki.
-
E.
Mummela
Mummela is the traditional troupe of performers in the South Indian folk theatre form Yakshagana, responsible for enacting its mythological dance-drama narratives.
- 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_6a012ed0b78481909a11c1529db6c1cd |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:33 a.m.