Triple
T17048775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsinki bus network |
E413639
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Kauniainen |
E217663
|
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: Kauniainen | Statement: [Helsinki bus network, serves, Kauniainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kauniainen Context triple: [Helsinki bus network, serves, Kauniainen]
-
A.
Kauniainen
chosen
Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
-
B.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
C.
Kiukainen
Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
-
D.
Veikkola
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
-
E.
Kihlaus
Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012341b8e88190a2bee865be5ca1c1 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.