Triple
T3597196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Rovaniemi |
E76167
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Rovaniemi |
E280329
|
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: Rovaniemi | Statement: [Battle of Rovaniemi, location, Rovaniemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rovaniemi Context triple: [Battle of Rovaniemi, location, Rovaniemi]
-
A.
Rovaniemi
chosen
Rovaniemi is a city in northern Finland that serves as the capital of Lapland and a popular gateway to the Arctic and Santa Claus–themed tourism.
-
B.
Tuusula
Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
-
C.
Loviisa
Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
-
D.
Kuusamo
Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
-
E.
Naantali
Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19c71608190a87c98214321214c |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43307cb548190824bb6704e339bff |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.