Triple
T7034409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region of Kainuu |
E163343
|
entity |
| Predicate | hasRegionalSong |
P7178
|
FINISHED |
| Object | Nälkämaan laulu |
E637159
|
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: Nälkämaan laulu | Statement: [Region of Kainuu, hasRegionalSong, Nälkämaan laulu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nälkämaan laulu Context triple: [Region of Kainuu, hasRegionalSong, Nälkämaan laulu]
-
A.
Nälkämaan laulu
chosen
Nälkämaan laulu is a well-known Finnish song that serves as the unofficial anthem of the Kainuu region, reflecting its history, hardships, and local identity.
-
B.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
C.
Pöytyä
Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
-
D.
Salme
Salme is a small village and former rural municipality located on Saaremaa Island in western Estonia.
-
E.
Hiljainen kansa
Hiljainen kansa is a famous Finnish roadside art installation near Suomussalmi consisting of hundreds of scarecrow-like figures dressed in old clothes standing silently in a field.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e77415e88190ab65137382f1b155 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78863c2fc8190b9b54613968742e1 |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:36 p.m.