Triple
T10814558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TPS Turku |
E255189
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object |
Lukko Rauma
Lukko Rauma is a Finnish professional ice hockey club from Rauma that competes in the country’s top league, Liiga.
|
E887553
|
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: Lukko Rauma | Statement: [TPS Turku, hasRival, Lukko Rauma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukko Rauma Context triple: [TPS Turku, hasRival, Lukko Rauma]
-
A.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
B.
Lohja
Lohja is a town and municipality in southern Finland known for its lakes, limestone industry, and location within the Uusimaa region.
-
C.
Tervola
Tervola is a small municipality in Finnish Lapland known for its rural landscapes and location along the Kemijoki River.
-
D.
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.
-
E.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
- 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: Lukko Rauma Triple: [TPS Turku, hasRival, Lukko Rauma]
Generated description
Lukko Rauma is a Finnish professional ice hockey club from Rauma that competes in the country’s top league, Liiga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lukko Rauma Target entity description: Lukko Rauma is a Finnish professional ice hockey club from Rauma that competes in the country’s top league, Liiga.
-
A.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
B.
Lohja
Lohja is a town and municipality in southern Finland known for its lakes, limestone industry, and location within the Uusimaa region.
-
C.
Tervola
Tervola is a small municipality in Finnish Lapland known for its rural landscapes and location along the Kemijoki River.
-
D.
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.
-
E.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733ece4488190b553a66c4b5188bc |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8546b41081909e13152c4df2eb1c |
completed | April 14, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_69de8955b9d8819086ff98efbff6c7a0 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f4a318c819086559fd53506ab29 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.