Triple
T8677436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Österbottens landskap |
E205950
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Isokyrö |
E205953
|
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: Isokyrö | Statement: [Österbottens landskap, containsMunicipality, Isokyrö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isokyrö Context triple: [Österbottens landskap, containsMunicipality, Isokyrö]
-
A.
Isokyrö
chosen
Isokyrö is a rural municipality in western Finland known for its historic churches, agricultural landscape, and traditional Ostrobothnian culture.
-
B.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
-
C.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
-
D.
Tuompo
Tuompo is a Finnish surname associated with individuals such as Wiljo Tuompo.
-
E.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f7c2c081909ec93413ceefbb1c |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.