Triple
T5588615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierp |
E146819
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Tierp Arena
Tierp Arena is a major motorsport and drag racing facility in Sweden, known for hosting national and international racing events.
|
E536689
|
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: Tierp Arena | Statement: [Tierp, knownFor, Tierp Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tierp Arena Context triple: [Tierp, knownFor, Tierp 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.
Malmö Arena
Malmö Arena is a modern multi-purpose indoor venue in Malmö, Sweden, primarily known for hosting ice hockey games, concerts, and major events.
-
D.
Swedbank Arena
Swedbank Arena was the original name of Friends Arena, a major multi-purpose stadium in Solna, Stockholm, primarily used for football and large-scale events.
-
E.
Skagerak Arena
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
- 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: Tierp Arena Triple: [Tierp, knownFor, Tierp Arena]
Generated description
Tierp Arena is a major motorsport and drag racing facility in Sweden, known for hosting national and international racing events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tierp Arena Target entity description: Tierp Arena is a major motorsport and drag racing facility in Sweden, known for hosting national and international racing events.
-
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.
Malmö Arena
Malmö Arena is a modern multi-purpose indoor venue in Malmö, Sweden, primarily known for hosting ice hockey games, concerts, and major events.
-
D.
Swedbank Arena
Swedbank Arena was the original name of Friends Arena, a major multi-purpose stadium in Solna, Stockholm, primarily used for football and large-scale events.
-
E.
Skagerak Arena
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209e892c8190b936a05ef2a14d36 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2f8710819094f5d052b767b9a6 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e88680c8190845723f52c060fb7 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7856848190a835c3ee0a32f649 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:38 p.m.