Triple
T12001429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Ostrobothnia |
E285671
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Kurikka |
E752139
|
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: Kurikka | Statement: [South Ostrobothnia, containsMunicipality, Kurikka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurikka Context triple: [South Ostrobothnia, containsMunicipality, Kurikka]
-
A.
Kurikka
chosen
Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
-
B.
Inari
Inari is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits in Japan.
-
C.
Kihlaus
Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
-
D.
Kallio
Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
-
E.
Kallio
Kallio is a densely populated, historically working-class district in central Helsinki known for its vibrant nightlife, bohemian atmosphere, and diverse urban culture.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.