Triple
T13797915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanthaugen Freestyle Arena |
E331562
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Kanthaugen
Kanthaugen is a hill and recreational area in Lillehammer, Norway, best known for hosting winter sports facilities including venues from the 1994 Winter Olympics.
|
E1061823
|
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: Kanthaugen | Statement: [Kanthaugen Freestyle Arena, namedAfter, Kanthaugen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanthaugen Context triple: [Kanthaugen Freestyle Arena, namedAfter, Kanthaugen]
-
A.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
B.
Nadderud
Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
-
C.
Bruhagen
Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, Norway.
-
D.
Kroksund
Kroksund is a small village in the municipality of Hole in Buskerud county, Norway.
-
E.
Pellinge
Pellinge is a small island village in the Pellinge archipelago off the southern coast of Finland, known for its traditional fishing community and scenic Baltic Sea landscapes.
- 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: Kanthaugen Triple: [Kanthaugen Freestyle Arena, namedAfter, Kanthaugen]
Generated description
Kanthaugen is a hill and recreational area in Lillehammer, Norway, best known for hosting winter sports facilities including venues from the 1994 Winter Olympics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanthaugen Target entity description: Kanthaugen is a hill and recreational area in Lillehammer, Norway, best known for hosting winter sports facilities including venues from the 1994 Winter Olympics.
-
A.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
B.
Nadderud
Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
-
C.
Bruhagen
Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, Norway.
-
D.
Kroksund
Kroksund is a small village in the municipality of Hole in Buskerud county, Norway.
-
E.
Pellinge
Pellinge is a small island village in the Pellinge archipelago off the southern coast of Finland, known for its traditional fishing community and scenic Baltic Sea landscapes.
- 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_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:11 p.m.