Triple
T17567958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tappara |
E427864
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | Tappara ry |
—
|
NE NERFINISHED |
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: Tappara ry | Statement: [Tappara, governingBody, Tappara ry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tappara ry Context triple: [Tappara, governingBody, Tappara ry]
-
A.
Tappara Tampere
chosen
Tappara Tampere is a prominent Finnish professional ice hockey club from Tampere, known as one of the most successful and historically significant teams in the Liiga.
-
B.
Vaasan Sport
Vaasan Sport is a Finnish professional ice hockey club based in the city of Vaasa that competes in the country’s top leagues.
-
C.
Ilves
Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional league.
-
D.
Joensuu Wolves
Joensuu Wolves is a sports club based in Joensuu, Finland, best known for representing the city in competitive team sports.
-
E.
Imatran Pallo-Veikot
Imatran Pallo-Veikot is a Finnish sports club best known for its football activities, based in the town of Imatra.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592e56e481909249b831cecc31d5 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.