Triple
T22561187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajaani |
E557816
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
AC Kajaani
AC Kajaani is a Finnish football club based in the town of Kajaani, known for competing in the national league system.
|
E1542754
|
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: AC Kajaani | Statement: [Kajaani, hasSportsClub, AC Kajaani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AC Kajaani Context triple: [Kajaani, hasSportsClub, AC Kajaani]
-
A.
Juankoski
Juankoski is a small town and former industrial municipality in eastern Finland, known for its historical ironworks and lakeside scenery.
-
B.
Kajaani
Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
-
C.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
-
D.
Kerava
Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
-
E.
Kalajoki
Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
- 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: AC Kajaani Triple: [Kajaani, hasSportsClub, AC Kajaani]
Generated description
AC Kajaani is a Finnish football club based in the town of Kajaani, known for competing in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AC Kajaani Target entity description: AC Kajaani is a Finnish football club based in the town of Kajaani, known for competing in the national league system.
-
A.
Juankoski
Juankoski is a small town and former industrial municipality in eastern Finland, known for its historical ironworks and lakeside scenery.
-
B.
Kajaani
Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
-
C.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
-
D.
Kerava
Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
-
E.
Kalajoki
Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d6d8bd88190a0716294f22fd32b |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b364801cc81908204a937c1099728 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37998f888190bb53c2429760321a |
completed | May 18, 2026, 4 p.m. |
Created at: April 16, 2026, 8:52 p.m.