Triple
T4855896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampere |
E108535
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
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.
|
E475082
|
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: Ilves | Statement: [Tampere, hasSportsTeam, Ilves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilves Context triple: [Tampere, hasSportsTeam, Ilves]
-
A.
HIFK Helsinki
HIFK Helsinki is a prominent professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and traditional teams in the Liiga.
-
B.
Jokerit
Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
-
C.
FC Honka
FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
-
D.
Leksands IF
Leksands IF is a Swedish professional ice hockey club based in Leksand, known for its long history and passionate fan base in the country’s top leagues.
-
E.
Brynas IF
Brynäs IF is a professional Swedish ice hockey club based in Gävle, historically one of the country's most successful teams and a notable developer of NHL talent.
- 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: Ilves Triple: [Tampere, hasSportsTeam, Ilves]
Generated description
Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilves Target entity description: Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional league.
-
A.
HIFK Helsinki
HIFK Helsinki is a prominent professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and traditional teams in the Liiga.
-
B.
Jokerit
Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
-
C.
FC Honka
FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
-
D.
Leksands IF
Leksands IF is a Swedish professional ice hockey club based in Leksand, known for its long history and passionate fan base in the country’s top leagues.
-
E.
Brynas IF
Brynäs IF is a professional Swedish ice hockey club based in Gävle, historically one of the country's most successful teams and a notable developer of NHL talent.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3df75c8190830e2c927cc5a4f8 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ce7385c8190897fd2343c0ebeed |
completed | March 21, 2026, 8:55 a.m. |
| NEDg | Description generation | batch_69be5dadcec88190bf9a272c4a9aef9a |
completed | March 21, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6159ff7c8190baa116240f76dea5 |
completed | March 21, 2026, 9:14 a.m. |
Created at: March 20, 2026, 1:26 p.m.