Triple
T20603006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haparanda |
E506229
|
entity |
| Predicate | hasMinorityLanguage |
P2267
|
FINISHED |
| Object | Meänkieli |
—
|
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: Meänkieli | Statement: [Haparanda, hasMinorityLanguage, Meänkieli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meänkieli Context triple: [Haparanda, hasMinorityLanguage, Meänkieli]
-
A.
Meänkieli
chosen
Meänkieli is a Finnic minority language closely related to Finnish, traditionally spoken by the Tornedalian people in northern Sweden.
-
B.
Karelian language
The Karelian language is a Uralic language closely related to Finnish, traditionally spoken by the Karelian people in parts of Finland and northwestern Russia.
-
C.
Finnish language
Finnish is a Uralic language primarily spoken in Finland, known for its complex grammar, extensive case system, and agglutinative structure.
-
D.
Kodava language
Kodava language is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
-
E.
Suomi
Suomi is a Finnish surname most notably borne by Verner E. Suomi, a pioneering scientist often called the "father of satellite meteorology."
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.