Triple
T6304150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestre Aker |
E141330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Holmen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
|
E584505
|
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: Holmen | Statement: [Vestre Aker, contains, Holmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holmen Context triple: [Vestre Aker, contains, Holmen]
-
A.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
B.
Holm
Holm is a small rural settlement in the Orkney Islands of Scotland, known for its coastal landscape and historic island community.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Samoëns
Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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: Holmen Triple: [Vestre Aker, contains, Holmen]
Generated description
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holmen Target entity description: Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
-
A.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
B.
Holm
Holm is a small rural settlement in the Orkney Islands of Scotland, known for its coastal landscape and historic island community.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Samoëns
Samoëns is a picturesque alpine village and ski resort in the French Alps, known for its traditional stone architecture and access to the Grand Massif ski area.
-
E.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645f26a881909d5746151c0843cc |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e43e085081908546fa120a43bf84 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e69033cc8190a4c3f88993620754 |
completed | March 27, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e73595288190a8c0696d7c1dc887 |
completed | March 27, 2026, 2:11 a.m. |
Created at: March 22, 2026, 4:28 p.m.