Triple
T12212353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zvolen |
E290995
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
HKM Zvolen
HKM Zvolen is a professional ice hockey club based in Zvolen, Slovakia, competing in the country’s top-tier league.
|
E969099
|
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: HKM Zvolen | Statement: [Zvolen, hasSportsClub, HKM Zvolen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HKM Zvolen Context triple: [Zvolen, hasSportsClub, HKM Zvolen]
-
A.
Zvolen
Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
-
B.
KU Ružomberok
KU Ružomberok is a Catholic university located in the town of Ružomberok in Slovakia, offering a range of academic programs grounded in Christian values.
-
C.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
-
D.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
E.
Ostredok
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
- 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: HKM Zvolen Triple: [Zvolen, hasSportsClub, HKM Zvolen]
Generated description
HKM Zvolen is a professional ice hockey club based in Zvolen, Slovakia, competing in the country’s top-tier league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HKM Zvolen Target entity description: HKM Zvolen is a professional ice hockey club based in Zvolen, Slovakia, competing in the country’s top-tier league.
-
A.
Zvolen
Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
-
B.
KU Ružomberok
KU Ružomberok is a Catholic university located in the town of Ružomberok in Slovakia, offering a range of academic programs grounded in Christian values.
-
C.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
-
D.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
E.
Ostredok
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9f45108190a814cdca52e77b5e |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdca250819090b4b4cc84d343f4 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:51 p.m.