Triple
T22234276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokemäenjoki |
E549547
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Harjavalta |
—
|
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: Harjavalta | Statement: [Kokemäenjoki, passesThrough, Harjavalta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harjavalta Context triple: [Kokemäenjoki, passesThrough, Harjavalta]
-
A.
Harjavalta
chosen
Harjavalta is a small industrial town and municipality in western Finland known for its metal and chemical industries along the Kokemäki River.
-
B.
Harju
Harju is a famous spectator-friendly city-stage in Jyväskylä that serves as one of the most iconic and crowd-drawing special stages of Rally Finland.
-
C.
Harjola
Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
-
D.
Janakkala
Janakkala is a municipality in southern Finland known for its rural landscapes and historical churches, located within the Kanta-Häme region.
-
E.
Haapalainen
Haapalainen is a Finnish surname most notably borne by Eero Haapalainen, a Finnish politician and military leader active in the early 20th century.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf61504819093e70bee4c575d1c |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.