Triple
T3674373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyväskylä |
E77953
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
JYP Jyväskylä
JYP Jyväskylä is a professional Finnish ice hockey club based in Jyväskylä that competes in the country’s top-tier Liiga.
|
E377498
|
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: JYP Jyväskylä | Statement: [Jyväskylä, hasSportsTeam, JYP Jyväskylä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JYP Jyväskylä Context triple: [Jyväskylä, hasSportsTeam, JYP Jyväskylä]
-
A.
Jyväskylän maalaiskunta
Jyväskylän maalaiskunta was a former rural municipality in Central Finland that surrounded the city of Jyväskylä before being consolidated into it.
-
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.
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.
-
D.
FC Honka
FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
-
E.
Jyväskylä
Jyväskylä is a central Finnish city known for its lakeside setting, strong educational institutions, and association with architect Alvar Aalto.
- 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: JYP Jyväskylä Triple: [Jyväskylä, hasSportsTeam, JYP Jyväskylä]
Generated description
JYP Jyväskylä is a professional Finnish ice hockey club based in Jyväskylä that competes in the country’s top-tier Liiga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JYP Jyväskylä Target entity description: JYP Jyväskylä is a professional Finnish ice hockey club based in Jyväskylä that competes in the country’s top-tier Liiga.
-
A.
Jyväskylän maalaiskunta
Jyväskylän maalaiskunta was a former rural municipality in Central Finland that surrounded the city of Jyväskylä before being consolidated into it.
-
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.
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.
-
D.
FC Honka
FC Honka is a Finnish professional football club based in Espoo that competes in the country’s top-tier league.
-
E.
Jyväskylä
Jyväskylä is a central Finnish city known for its lakeside setting, strong educational institutions, and association with architect Alvar Aalto.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc45fbd1c819099023791452f1beb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48854a2308190ba6a9fc39929b35c |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48b48c5f48190b9db5f3feca08e0e |
completed | March 13, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af0410e8819091cb1259d06d60cc |
completed | March 14, 2026, 12:42 a.m. |
Created at: March 8, 2026, 3:25 p.m.