Triple
T7721669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tornio |
E175026
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lapland, Finland |
E73789
|
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: Lapland, Finland | Statement: [Tornio, locatedIn, Lapland, Finland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapland, Finland Context triple: [Tornio, locatedIn, Lapland, Finland]
-
A.
Lapland
chosen
Lapland is a sparsely populated Arctic region in northern Finland known for its subarctic wilderness, indigenous Sámi culture, and reputation as the home of Santa Claus.
-
B.
Kuortane, Finland
Kuortane, Finland is a small municipality in Southern Ostrobothnia known for its rural landscapes and as the birthplace of renowned architect Alvar Aalto.
-
C.
Kurki, Finland
Kurki is a locality in Finland notable as the birthplace of Lauri Kristian Relander, the second President of Finland.
-
D.
Pirkkala, Finland
Pirkkala, Finland is a municipality in the Pirkanmaa region of southern Finland, known for its proximity to the city of Tampere and its role as a local residential and transport hub.
-
E.
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.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f1786881908b025d8986e5f1fa |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b517c64881908d24e8613dc33bf4 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:05 p.m.