Triple
T10374248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestby |
E244461
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Gardermoen (Vestby)
Gardermoen (Vestby) is a small village in Vestby Municipality in Viken county, Norway.
|
E860804
|
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: Gardermoen (Vestby) | Statement: [Vestby, hasVillage, Gardermoen (Vestby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardermoen (Vestby) Context triple: [Vestby, hasVillage, Gardermoen (Vestby)]
-
A.
Oslo East
Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
-
B.
Lysaker
Lysaker is a key transport and business hub in the western part of the Oslo metropolitan area in Norway, featuring a major railway and commuter center.
-
C.
Høvik
Høvik is a suburban residential area and neighborhood in the municipality of Bærum in Viken county, Norway.
-
D.
Ullensaker
Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
-
E.
Huseby
Huseby is a residential area in Oslo, Norway, known for its green surroundings and location within the Vestre Aker borough.
- 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: Gardermoen (Vestby) Triple: [Vestby, hasVillage, Gardermoen (Vestby)]
Generated description
Gardermoen (Vestby) is a small village in Vestby Municipality in Viken county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gardermoen (Vestby) Target entity description: Gardermoen (Vestby) is a small village in Vestby Municipality in Viken county, Norway.
-
A.
Oslo East
Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
-
B.
Lysaker
Lysaker is a key transport and business hub in the western part of the Oslo metropolitan area in Norway, featuring a major railway and commuter center.
-
C.
Høvik
Høvik is a suburban residential area and neighborhood in the municipality of Bærum in Viken county, Norway.
-
D.
Ullensaker
Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
-
E.
Huseby
Huseby is a residential area in Oslo, Norway, known for its green surroundings and location within the Vestre Aker borough.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.