Triple
T20887132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarkko Immonen |
E514311
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | Lukko Rauma |
—
|
NE NERFINISHED |
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: Lukko Rauma | Statement: [Jarkko Immonen, playedFor, Lukko Rauma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukko Rauma Context triple: [Jarkko Immonen, playedFor, Lukko Rauma]
-
A.
Lukko Rauma
chosen
Lukko Rauma is a Finnish professional ice hockey club from Rauma that competes in the country’s top league, Liiga.
-
B.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
C.
Lohja
Lohja is a town and municipality in southern Finland known for its lakes, limestone industry, and location within the Uusimaa region.
-
D.
Haukkasalo
Haukkasalo is an island located in Lake Päijänne in Finland, known for its natural landscapes and lakeside environment.
-
E.
Rautalampi
Rautalampi is a rural municipality in central Finland known for its lakes, forests, and traditional Finnish countryside landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d058d4dc81908398f8c75e30dc77 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.