Triple
T13798649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storhamar Hockey |
E331580
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Storhamar Idrettslag
Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
|
E1063480
|
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: Storhamar Idrettslag | Statement: [Storhamar Hockey, foundedBy, Storhamar Idrettslag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storhamar Idrettslag Context triple: [Storhamar Hockey, foundedBy, Storhamar Idrettslag]
-
A.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
B.
Tromsø IL
Tromsø IL is a Norwegian professional football club based in the city of Tromsø, known for competing in the country’s top divisions and for being one of the world’s northernmost elite clubs.
-
C.
Mjøndalen
Mjøndalen is a town in Viken county, Norway, known historically for its industry and for its football club Mjøndalen IF.
-
D.
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.
-
E.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth 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: Storhamar Idrettslag Triple: [Storhamar Hockey, foundedBy, Storhamar Idrettslag]
Generated description
Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storhamar Idrettslag Target entity description: Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
-
A.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
B.
Tromsø IL
Tromsø IL is a Norwegian professional football club based in the city of Tromsø, known for competing in the country’s top divisions and for being one of the world’s northernmost elite clubs.
-
C.
Mjøndalen
Mjøndalen is a town in Viken county, Norway, known historically for its industry and for its football club Mjøndalen IF.
-
D.
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.
-
E.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7ba1afc048190a0053497acc64fb1 |
completed | May 3, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba99ad9c8190906b6b63cf27a446 |
completed | May 3, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:11 p.m.