Triple
T4043976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjøvik |
E84018
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Gjøvik Hockey
Gjøvik Hockey is an ice hockey club based in Gjøvik, Norway, competing in the Norwegian league system.
|
E408631
|
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: Gjøvik Hockey | Statement: [Gjøvik, hasSportsClub, Gjøvik Hockey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gjøvik Hockey Context triple: [Gjøvik, hasSportsClub, Gjøvik Hockey]
-
A.
Storhamar Hockey
Storhamar Hockey is a professional ice hockey club from Hamar, Norway, known as one of the country’s most successful and storied teams.
-
B.
Lillehammer IK
Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
-
C.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
D.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
E.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
- 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: Gjøvik Hockey Triple: [Gjøvik, hasSportsClub, Gjøvik Hockey]
Generated description
Gjøvik Hockey is an ice hockey club based in Gjøvik, Norway, competing in the Norwegian league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gjøvik Hockey Target entity description: Gjøvik Hockey is an ice hockey club based in Gjøvik, Norway, competing in the Norwegian league system.
-
A.
Storhamar Hockey
Storhamar Hockey is a professional ice hockey club from Hamar, Norway, known as one of the country’s most successful and storied teams.
-
B.
Lillehammer IK
Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
-
C.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
D.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
E.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5d759c8190b61fbbe94ffe2bf7 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564fb54c81909f40ca1d6f1e521e |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b5579085608190937528de7e0f987e |
completed | March 14, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55828506081908181436282907b08 |
completed | March 14, 2026, 12:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.