Triple
T21098960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elverum Håndball |
E519842
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object |
Drammen HK
Drammen HK is a Norwegian handball club known for competing at the top level of national handball and maintaining a strong rivalry with Elverum Håndball.
|
E1466449
|
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: Drammen HK | Statement: [Elverum Håndball, hasRival, Drammen HK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drammen HK Context triple: [Elverum Håndball, hasRival, Drammen HK]
-
A.
Sandnes HK
Sandnes HK is a Norwegian handball club based in the city of Sandnes.
-
B.
Storhamar Idrettslag
Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
-
C.
Mjøndalen
Mjøndalen is a town in Viken county, Norway, known historically for its industry and for its football club Mjøndalen IF.
-
D.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
E.
Lillehammer IK
Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
- 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: Drammen HK Triple: [Elverum Håndball, hasRival, Drammen HK]
Generated description
Drammen HK is a Norwegian handball club known for competing at the top level of national handball and maintaining a strong rivalry with Elverum Håndball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drammen HK Target entity description: Drammen HK is a Norwegian handball club known for competing at the top level of national handball and maintaining a strong rivalry with Elverum Håndball.
-
A.
Sandnes HK
Sandnes HK is a Norwegian handball club based in the city of Sandnes.
-
B.
Storhamar Idrettslag
Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
-
C.
Mjøndalen
Mjøndalen is a town in Viken county, Norway, known historically for its industry and for its football club Mjøndalen IF.
-
D.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
E.
Lillehammer IK
Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5b51608190aa286d89a9d54e9f |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a60c2ec8190a7383948f0ff6cac |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095c017bec81909fd6c73a0fb677df |
completed | May 17, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095cee4c308190a08844f285231ff9 |
completed | May 17, 2026, 6:15 a.m. |
Created at: April 16, 2026, 2:52 p.m.