Triple
T17822692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandvika |
E445026
|
entity |
| Predicate | hasTownHall |
P796
|
FINISHED |
| Object |
Bærum rådhus
Bærum rådhus is the municipal town hall of Bærum in Norway, serving as the administrative and political center of the municipality.
|
E1290850
|
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: Bærum rådhus | Statement: [Sandvika, hasTownHall, Bærum rådhus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bærum rådhus Context triple: [Sandvika, hasTownHall, Bærum rådhus]
-
A.
Bærum Kulturhus
Bærum Kulturhus is a major cultural center in Sandvika, Norway, hosting a wide range of performances, concerts, and arts events.
-
B.
Gjøvik Town Hall
Gjøvik Town Hall is the main municipal administrative building and civic center of the town of Gjøvik in Norway.
-
C.
Haugesund city hall
Haugesund city hall is the main administrative and political center of the city of Haugesund in Norway, housing its municipal government offices and council chambers.
-
D.
Øvre Eiker town hall
Øvre Eiker town hall is the main administrative and political center of the municipality of Øvre Eiker in Norway.
-
E.
Kristiansund city hall
Kristiansund city hall is the main administrative and political center of the Norwegian city of Kristiansund, housing its municipal government and public offices.
- 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: Bærum rådhus Triple: [Sandvika, hasTownHall, Bærum rådhus]
Generated description
Bærum rådhus is the municipal town hall of Bærum in Norway, serving as the administrative and political center of the municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bærum rådhus Target entity description: Bærum rådhus is the municipal town hall of Bærum in Norway, serving as the administrative and political center of the municipality.
-
A.
Bærum Kulturhus
Bærum Kulturhus is a major cultural center in Sandvika, Norway, hosting a wide range of performances, concerts, and arts events.
-
B.
Gjøvik Town Hall
Gjøvik Town Hall is the main municipal administrative building and civic center of the town of Gjøvik in Norway.
-
C.
Haugesund city hall
Haugesund city hall is the main administrative and political center of the city of Haugesund in Norway, housing its municipal government offices and council chambers.
-
D.
Øvre Eiker town hall
Øvre Eiker town hall is the main administrative and political center of the municipality of Øvre Eiker in Norway.
-
E.
Kristiansund city hall
Kristiansund city hall is the main administrative and political center of the Norwegian city of Kristiansund, housing its municipal government and public offices.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891282a081908d384d45bf444baf |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0306f1f3908190b51533fb9bc54430 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0307a17a4c81909a0b19b85a2d0adb |
completed | May 12, 2026, 10:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03080d46fc8190890000cfd0ede60e |
completed | May 12, 2026, 10:59 a.m. |
Created at: April 10, 2026, 10:15 a.m.