Triple
T5065538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skien |
E114133
|
entity |
| Predicate | hasSportsVenue |
P587
|
FINISHED |
| Object |
Skagerak Arena
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
|
E489960
|
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: Skagerak Arena | Statement: [Skien, hasSportsVenue, Skagerak Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skagerak Arena Context triple: [Skien, hasSportsVenue, Skagerak Arena]
-
A.
Scandinavium arena
Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
-
B.
ESPRIT Arena
ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
-
C.
Oslo Spektrum
Oslo Spektrum is a large indoor arena in Oslo, Norway, primarily used for ice hockey, concerts, and major cultural and sporting events.
-
D.
Briskeby Arena
Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
-
E.
Bella Center
Bella Center is a major convention and exhibition center in Copenhagen, Denmark, known for hosting large international conferences, trade fairs, and events.
- 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: Skagerak Arena Triple: [Skien, hasSportsVenue, Skagerak Arena]
Generated description
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skagerak Arena Target entity description: Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
-
A.
Scandinavium arena
Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
-
B.
ESPRIT Arena
ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
-
C.
Oslo Spektrum
Oslo Spektrum is a large indoor arena in Oslo, Norway, primarily used for ice hockey, concerts, and major cultural and sporting events.
-
D.
Briskeby Arena
Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
-
E.
Bella Center
Bella Center is a major convention and exhibition center in Copenhagen, Denmark, known for hosting large international conferences, trade fairs, and events.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49d917081909ead17eed3f8af90 |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea525d9088190b0b655687dd27630 |
completed | March 21, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea594850881909cd683670b63a079 |
completed | March 21, 2026, 2:05 p.m. |
Created at: March 20, 2026, 1:38 p.m.