Triple
T8702853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemiönsaari |
E206572
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Kemiö |
E751383
|
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: Kemiö | Statement: [Kemiönsaari, formedByMergerOf, Kemiö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemiö Context triple: [Kemiönsaari, formedByMergerOf, Kemiö]
-
A.
Kemiö
chosen
Kemiö is a locality in southwestern Finland that serves as the main population and service hub of the Kemiönsaari (Kimitoön) island municipality.
-
B.
Kemi
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
-
C.
City of Kemi
The City of Kemi is a Finnish municipality on the northern shore of the Gulf of Bothnia, known for its industrial port and tourism centered around snow and ice attractions.
-
D.
Kemi, Finland
Kemi, Finland is a northern Finnish town on the Bothnian Bay known for its industrial port, winter tourism, and attractions like the SnowCastle and icebreaker cruises.
-
E.
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.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b5b44081909e7b33c70fac236d |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28a0dd708190b12872883a2276c8 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:34 p.m.