Triple
T2916621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otaru |
E78621
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Sodankylä
Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
|
E310021
|
NE FINISHED |
How this triple was built (4 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: Sodankylä | Statement: [Otaru, twinTown, Sodankylä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sodankylä Context triple: [Otaru, twinTown, Sodankylä]
-
A.
Kuusamo
Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
-
B.
Loviisa
Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
-
C.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
D.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
E.
Kalajärvi
Kalajärvi is a residential district in the northern part of Espoo, Finland, known for its lakeside environment and outdoor recreation areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sodankylä Triple: [Otaru, twinTown, Sodankylä]
Generated description
Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sodankylä Target entity description: Sodankylä is a municipality in Finnish Lapland known for its northern location, Arctic climate research, and the annual Midnight Sun Film Festival.
-
A.
Kuusamo
Kuusamo is a town and municipality in northeastern Finland known for its rugged wilderness, outdoor tourism, and the popular Ruka ski resort.
-
B.
Loviisa
Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
-
C.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
D.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
E.
Kalajärvi
Kalajärvi is a residential district in the northern part of Espoo, Finland, known for its lakeside environment and outdoor recreation areas.
- F. None of above. chosen
Provenance (5 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a2bdd88190aa01c26a27f9afbd |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0562847488190a0d6b7de99796cd9 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b06309895881908e9fdd9fa31aed03 |
completed | March 10, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b06371e5fc8190a9945d9ac005365a |
completed | March 10, 2026, 6:31 p.m. |
Created at: March 8, 2026, 2:53 p.m.