Triple
T17370471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norderhov |
E422296
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Norderhov (Norwegian)
Norderhov (Norwegian) is the Norwegian-language name for Norderhov, a historic parish and former municipality in Buskerud county, Norway.
|
E1265324
|
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: Norderhov (Norwegian) | Statement: [Norderhov, hasNameInLanguage, Norderhov (Norwegian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norderhov (Norwegian) Context triple: [Norderhov, hasNameInLanguage, Norderhov (Norwegian)]
-
A.
Høven
Høven is a Norwegian surname associated with individuals such as Thorkild Høven.
-
B.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
C.
Røssvoll
Røssvoll is a small village in Nordland county, Norway, known for its local airport serving the Rana region.
-
D.
Hovden
Hovden is a Norwegian mountain village and ski resort area known for its winter sports and outdoor recreation, located in the municipality of Bykle in Agder county.
-
E.
Sæbø
Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
- 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: Norderhov (Norwegian) Triple: [Norderhov, hasNameInLanguage, Norderhov (Norwegian)]
Generated description
Norderhov (Norwegian) is the Norwegian-language name for Norderhov, a historic parish and former municipality in Buskerud county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norderhov (Norwegian) Target entity description: Norderhov (Norwegian) is the Norwegian-language name for Norderhov, a historic parish and former municipality in Buskerud county, Norway.
-
A.
Høven
Høven is a Norwegian surname associated with individuals such as Thorkild Høven.
-
B.
Nordingrå
Nordingrå is a small locality in Sweden’s High Coast region, known for its coastal landscapes and traditional rural communities.
-
C.
Røssvoll
Røssvoll is a small village in Nordland county, Norway, known for its local airport serving the Rana region.
-
D.
Hovden
Hovden is a Norwegian mountain village and ski resort area known for its winter sports and outdoor recreation, located in the municipality of Bykle in Agder county.
-
E.
Sæbø
Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a68ff448190b505861e56df5b6d |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
completed | May 11, 2026, 8:38 a.m. |
| NEDg | Description generation | batch_6a019b7b645c819087040b18ee447321 |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c8392d8819098317ff88a5c6e06 |
completed | May 11, 2026, 9:08 a.m. |
Created at: April 10, 2026, 5:44 a.m.